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transformers
transformers-main/examples/research_projects/visual_bert/utils.py
""" coding=utf-8 Copyright 2018, Antonio Mendoza Hao Tan, Mohit Bansal, Huggingface team :) Adapted From Facebook Inc, Detectron2 Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://w...
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transformers
transformers-main/examples/research_projects/visual_bert/visualizing_image.py
""" coding=utf-8 Copyright 2018, Antonio Mendoza Hao Tan, Mohit Bansal Adapted From Facebook Inc, Detectron2 Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/license...
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transformers
transformers-main/examples/research_projects/visual_bert/processing_image.py
""" coding=utf-8 Copyright 2018, Antonio Mendoza Hao Tan, Mohit Bansal Adapted From Facebook Inc, Detectron2 Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/license...
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transformers
transformers-main/examples/research_projects/zero-shot-distillation/distill_classifier.py
import logging import os import sys from dataclasses import dataclass, field from typing import List, Optional import torch from datasets import Dataset from torch import nn from tqdm.auto import tqdm from transformers import ( AutoModelForSequenceClassification, AutoTokenizer, HfArgumentParser, Train...
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transformers
transformers-main/examples/research_projects/mm-imdb/run_mmimdb.py
# coding=utf-8 # Copyright (c) Facebook, Inc. and its affiliates. # Copyright (c) HuggingFace Inc. team. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses...
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transformers
transformers-main/examples/research_projects/mm-imdb/utils_mmimdb.py
# coding=utf-8 # Copyright (c) Facebook, Inc. and its affiliates. # Copyright (c) HuggingFace Inc. team. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses...
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transformers
transformers-main/examples/research_projects/decision_transformer/run_decision_transformer.py
import gym import numpy as np import torch from mujoco_py import GlfwContext from transformers import DecisionTransformerModel GlfwContext(offscreen=True) # Create a window to init GLFW. def get_action(model, states, actions, rewards, returns_to_go, timesteps): # we don't care about the past rewards in this m...
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transformers
transformers-main/examples/research_projects/seq2seq-distillation/callbacks.py
import logging from pathlib import Path import numpy as np import pytorch_lightning as pl import torch from pytorch_lightning.callbacks import EarlyStopping, ModelCheckpoint from pytorch_lightning.utilities import rank_zero_only from utils import save_json def count_trainable_parameters(model): model_parameters...
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transformers
transformers-main/examples/research_projects/seq2seq-distillation/run_eval.py
#!/usr/bin/env python import argparse import datetime import json import time import warnings from logging import getLogger from pathlib import Path from typing import Dict, List import torch from tqdm import tqdm from transformers import AutoModelForSeq2SeqLM, AutoTokenizer from utils import calculate_bleu, calcula...
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transformers-main/examples/research_projects/seq2seq-distillation/_test_seq2seq_examples.py
import argparse import logging import os import sys import tempfile from pathlib import Path import lightning_base import pytest import pytorch_lightning as pl import torch from convert_pl_checkpoint_to_hf import convert_pl_to_hf from distillation import distill_main from finetune import SummarizationModule, main from...
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transformers
transformers-main/examples/research_projects/seq2seq-distillation/_test_bash_script.py
#!/usr/bin/env python import argparse import os import sys from unittest.mock import patch import pytorch_lightning as pl import timeout_decorator import torch from distillation import SummarizationDistiller, distill_main from finetune import SummarizationModule, main from transformers import MarianMTModel from tran...
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transformers
transformers-main/examples/research_projects/seq2seq-distillation/_test_make_student.py
import tempfile import unittest from make_student import create_student_by_copying_alternating_layers from transformers import AutoConfig from transformers.file_utils import cached_property from transformers.testing_utils import require_torch TINY_BART = "sshleifer/bart-tiny-random" TINY_T5 = "patrickvonplaten/t5-t...
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transformers
transformers-main/examples/research_projects/seq2seq-distillation/utils.py
import itertools import json import linecache import math import os import pickle import socket from logging import getLogger from pathlib import Path from typing import Callable, Dict, Iterable, List, Tuple, Union import git import numpy as np import torch import torch.distributed as dist from rouge_score import roug...
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transformers
transformers-main/examples/research_projects/seq2seq-distillation/sentence_splitter.py
import re from filelock import FileLock try: import nltk NLTK_AVAILABLE = True except (ImportError, ModuleNotFoundError): NLTK_AVAILABLE = False if NLTK_AVAILABLE: with FileLock(".lock") as lock: nltk.download("punkt", quiet=True) def add_newline_to_end_of_each_sentence(x: str) -> str: ...
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transformers
transformers-main/examples/research_projects/seq2seq-distillation/lightning_base.py
import argparse import logging import os from pathlib import Path from typing import Any, Dict import pytorch_lightning as pl from pytorch_lightning.utilities import rank_zero_info from transformers import ( AdamW, AutoConfig, AutoModel, AutoModelForPreTraining, AutoModelForQuestionAnswering, ...
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transformers
transformers-main/examples/research_projects/seq2seq-distillation/finetune.py
#!/usr/bin/env python import argparse import glob import logging import os import sys import time from collections import defaultdict from pathlib import Path from typing import Dict, List, Tuple import numpy as np import pytorch_lightning as pl import torch from callbacks import Seq2SeqLoggingCallback, get_checkpoin...
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transformers
transformers-main/examples/research_projects/seq2seq-distillation/_test_seq2seq_examples_multi_gpu.py
# as due to their complexity multi-gpu tests could impact other tests, and to aid debug we have those in a separate module. import os import sys from pathlib import Path import torch from transformers.testing_utils import TestCasePlus, execute_subprocess_async, require_torch_multi_gpu from utils import load_json C...
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transformers
transformers-main/examples/research_projects/seq2seq-distillation/convert_pl_checkpoint_to_hf.py
#!/usr/bin/env python import os from pathlib import Path from typing import Dict, List import fire import torch from transformers import AutoModelForSeq2SeqLM, AutoTokenizer from transformers.utils.logging import get_logger logger = get_logger(__name__) def remove_prefix(text: str, prefix: str): if text.star...
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transformers
transformers-main/examples/research_projects/seq2seq-distillation/distillation.py
#!/usr/bin/env python import argparse import gc import os import sys from pathlib import Path from typing import List # noqa: F401 import pytorch_lightning as pl import torch from finetune import SummarizationModule, TranslationModule from finetune import main as ft_main from make_student import create_student_by_co...
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transformers
transformers-main/examples/research_projects/seq2seq-distillation/make_student.py
import warnings from pathlib import Path from typing import List, Tuple, Union import fire from torch import nn from transformers import AutoModelForSeq2SeqLM, AutoTokenizer, PreTrainedModel from transformers.utils import logging logger = logging.get_logger(__name__) def copy_layers(src_layers: nn.ModuleList, des...
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transformers
transformers-main/examples/research_projects/onnx/summarization/run_onnx_exporter.py
#!/usr/bin/env python # coding=utf-8 # Copyright The HuggingFace Team and The HuggingFace Inc. team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.ap...
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transformers-main/examples/research_projects/onnx/summarization/bart_onnx/reduce_onnx_size.py
""" Code to remove duplicate initializers to reduce ONNX model size. """ import os import numpy import onnx def _is_equal_tensor_proto(a, b): name_a = a.name name_b = b.name a.name = "" b.name = "" res = a == b a.name = name_a b.name = name_b return res def _node_replace_input_...
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transformers
transformers-main/examples/research_projects/onnx/summarization/bart_onnx/generation_onnx.py
import copy import itertools from typing import List, Optional, Tuple import torch import torch.nn.functional as F from transformers import BartConfig from transformers.generation import GenerationMixin def _convert_past_list_to_tuple(past_key_values): """ In Bart model, the type of past_key_values is tuple...
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transformers
transformers-main/examples/research_projects/xtreme-s/run_xtreme_s.py
#!/usr/bin/env python # coding=utf-8 # Copyright 2022 The HuggingFace Inc. team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LI...
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transformers
transformers-main/examples/research_projects/wav2vec2/run_common_voice.py
#!/usr/bin/env python3 import json import logging import os import re import sys from dataclasses import dataclass, field from typing import Any, Dict, List, Optional, Union import datasets import numpy as np import torch import torchaudio from packaging import version from torch import nn import transformers from tr...
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transformers
transformers-main/examples/research_projects/wav2vec2/test_wav2vec2_deepspeed.py
# Copyright 2020 The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicabl...
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transformers-main/examples/research_projects/wav2vec2/run_pretrain.py
#!/usr/bin/env python3 import logging import sys from dataclasses import dataclass, field from typing import Any, Dict, List, Optional, Union import librosa import torch from datasets import DatasetDict, load_dataset from packaging import version from torch import nn from transformers import ( HfArgumentParser, ...
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transformers
transformers-main/examples/research_projects/wav2vec2/alignment.py
# Parts of the code are adapted from the snippets provided in the TorchAudio Wav2Vec forced alignment tutorial. # The full tutorial can be found here: https://pytorch.org/audio/stable/tutorials/forced_alignment_tutorial.html import argparse import os from dataclasses import dataclass import torch import torchaudio fr...
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transformers
transformers-main/examples/research_projects/wav2vec2/run_asr.py
#!/usr/bin/env python3 import logging import pathlib import re import sys from dataclasses import dataclass, field from typing import Any, Callable, Dict, List, Optional, Set, Union import datasets import librosa import numpy as np import torch from lang_trans import arabic from packaging import version from torch imp...
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transformers
transformers-main/examples/research_projects/quantization-qdqbert/trainer_quant_qa.py
# coding=utf-8 # Copyright 2020 The HuggingFace Team All rights reserved. # Copyright 2021 NVIDIA Corporation. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # htt...
8,673
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transformers
transformers-main/examples/research_projects/quantization-qdqbert/quant_trainer.py
# coding=utf-8 # Copyright 2021 NVIDIA Corporation. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required...
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transformers
transformers-main/examples/research_projects/quantization-qdqbert/utils_qa.py
# coding=utf-8 # Copyright 2020 The HuggingFace Team All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless require...
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transformers
transformers-main/examples/research_projects/quantization-qdqbert/evaluate-hf-trt-qa.py
# coding=utf-8 # Copyright 2021 NVIDIA Corporation. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required...
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transformers
transformers-main/examples/research_projects/quantization-qdqbert/run_quant_qa.py
#!/usr/bin/env python # coding=utf-8 # Copyright 2020 The HuggingFace Team All rights reserved. # Copyright 2021 NVIDIA Corporation. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the ...
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transformers
transformers-main/examples/research_projects/quantization-qdqbert/ort-infer-benchmark.py
import os import time import numpy as np import onnxruntime as ort os.environ["ORT_TENSORRT_INT8_ENABLE"] = "1" os.environ["ORT_TENSORRT_INT8_USE_NATIVE_CALIBRATION_TABLE"] = "0" os.environ["ORT_TENSORRT_ENGINE_CACHE_ENABLE"] = "1" sess_opt = ort.SessionOptions() sess_opt.graph_optimization_level = ort.GraphOptimiz...
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transformers-main/examples/research_projects/mlm_wwm/run_mlm_wwm.py
# coding=utf-8 # Copyright 2020 The HuggingFace Team All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless require...
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transformers
transformers-main/examples/research_projects/mlm_wwm/run_chinese_ref.py
import argparse import json from typing import List from ltp import LTP from transformers.models.bert.tokenization_bert import BertTokenizer def _is_chinese_char(cp): """Checks whether CP is the codepoint of a CJK character.""" # This defines a "chinese character" as anything in the CJK Unicode block: #...
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transformers
transformers-main/examples/research_projects/luke/luke_utils.py
import unicodedata from dataclasses import dataclass from typing import Optional, Union import numpy as np from transformers.data.data_collator import DataCollatorMixin from transformers.file_utils import PaddingStrategy from transformers.tokenization_utils_base import PreTrainedTokenizerBase def padding_tensor(seq...
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transformers
transformers-main/examples/research_projects/luke/run_luke_ner_no_trainer.py
#!/usr/bin/env python # coding=utf-8 # Copyright 2022 The HuggingFace Inc. team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LI...
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transformers
transformers-main/examples/research_projects/distillation/grouped_batch_sampler.py
# coding=utf-8 # Copyright 2019-present, the HuggingFace Inc. team and Facebook, Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Un...
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transformers
transformers-main/examples/research_projects/distillation/utils.py
# coding=utf-8 # Copyright 2019-present, the HuggingFace Inc. team and Facebook, Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Un...
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transformers
transformers-main/examples/research_projects/distillation/lm_seqs_dataset.py
# coding=utf-8 # Copyright 2019-present, the HuggingFace Inc. team and Facebook, Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Un...
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transformers-main/examples/research_projects/distillation/run_squad_w_distillation.py
# coding=utf-8 # Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team. # Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a cop...
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transformers
transformers-main/examples/research_projects/distillation/train.py
# coding=utf-8 # Copyright 2019-present, the HuggingFace Inc. team. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by a...
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transformers
transformers-main/examples/research_projects/distillation/distiller.py
# coding=utf-8 # Copyright 2019-present, the HuggingFace Inc. team and Facebook, Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Un...
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transformers-main/examples/research_projects/distillation/scripts/token_counts.py
# coding=utf-8 # Copyright 2019-present, the HuggingFace Inc. team. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by a...
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transformers-main/examples/research_projects/distillation/scripts/extract.py
# coding=utf-8 # Copyright 2019-present, the HuggingFace Inc. team. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by a...
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transformers-main/examples/research_projects/distillation/scripts/extract_distilbert.py
# coding=utf-8 # Copyright 2019-present, the HuggingFace Inc. team. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by a...
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transformers-main/examples/research_projects/distillation/scripts/binarized_data.py
# coding=utf-8 # Copyright 2019-present, the HuggingFace Inc. team. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by a...
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transformers-main/examples/research_projects/jax-projects/hybrid_clip/configuration_hybrid_clip.py
import copy from transformers.configuration_utils import PretrainedConfig from transformers.utils import logging logger = logging.get_logger(__name__) class HybridCLIPConfig(PretrainedConfig): r""" :class:`HybridCLIPConfig` is the configuration class to store the configuration of a :class:`~HybridCLIPM...
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transformers
transformers-main/examples/research_projects/jax-projects/hybrid_clip/modeling_hybrid_clip.py
# coding=utf-8 # Copyright 2021 The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless requir...
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transformers-main/examples/research_projects/jax-projects/hybrid_clip/run_hybrid_clip.py
#!/usr/bin/env python # coding=utf-8 # Copyright 2021 The HuggingFace Team All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-...
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transformers-main/examples/research_projects/jax-projects/model_parallel/partitions.py
#!/usr/bin/env python # coding=utf-8 # Copyright 2021 The Google Research Authors and The HuggingFace Team All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://...
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transformers-main/examples/research_projects/jax-projects/model_parallel/run_clm_mp.py
#!/usr/bin/env python # coding=utf-8 # Copyright 2021 The HuggingFace Team All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-...
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transformers-main/examples/research_projects/jax-projects/dataset-streaming/run_mlm_flax_stream.py
#!/usr/bin/env python # coding=utf-8 # Copyright 2021 The HuggingFace Team All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-...
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transformers
transformers-main/examples/research_projects/jax-projects/big_bird/evaluate.py
import jax import jax.numpy as jnp from bigbird_flax import FlaxBigBirdForNaturalQuestions from datasets import load_from_disk from transformers import BigBirdTokenizerFast CATEGORY_MAPPING = {0: "null", 1: "short", 2: "long", 3: "yes", 4: "no"} PUNCTUATION_SET_TO_EXCLUDE = set("".join(["‘", "’", "´", "`", ".", ",",...
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transformers
transformers-main/examples/research_projects/jax-projects/big_bird/prepare_natural_questions.py
import os import jsonlines import numpy as np from tqdm import tqdm DOC_STRIDE = 2048 MAX_LENGTH = 4096 SEED = 42 PROCESS_TRAIN = os.environ.pop("PROCESS_TRAIN", "false") CATEGORY_MAPPING = {"null": 0, "short": 1, "long": 2, "yes": 3, "no": 4} def _get_single_answer(example): def choose_first(answer, is_long_a...
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transformers
transformers-main/examples/research_projects/jax-projects/big_bird/bigbird_flax.py
import json import os from dataclasses import dataclass from functools import partial from typing import Callable import flax.linen as nn import jax import jax.numpy as jnp import joblib import optax import wandb from flax import jax_utils, struct, traverse_util from flax.serialization import from_bytes, to_bytes from...
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transformers
transformers-main/examples/research_projects/jax-projects/big_bird/train.py
import os from dataclasses import replace import jax import wandb from bigbird_flax import Args, DataCollator, FlaxBigBirdForNaturalQuestions, Trainer, build_tx, train_step, val_step from datasets import load_dataset from flax import jax_utils from transformers import BigBirdTokenizerFast if __name__ == "__main__":...
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transformers
transformers-main/examples/research_projects/jax-projects/wav2vec2/run_wav2vec2_pretrain_flax.py
#!/usr/bin/env python3 import logging import sys import time from dataclasses import field from pathlib import Path from typing import Dict, List, Optional, Union import flax import jax import jax.numpy as jnp import librosa import numpy as np import optax from datasets import DatasetDict, load_dataset from flax impor...
25,155
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transformers
transformers-main/examples/research_projects/tapex/wikisql_utils.py
# coding=utf-8 # Copyright 2022 The Microsoft, The Google and The HuggingFace Inc. team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/lic...
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transformers
transformers-main/examples/research_projects/tapex/run_tabfact_with_tapex.py
#!/usr/bin/env python # coding=utf-8 # Copyright 2022 The Microsoft and The HuggingFace Inc. team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apac...
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transformers
transformers-main/examples/research_projects/tapex/run_wikisql_with_tapex.py
#!/usr/bin/env python # coding=utf-8 # Copyright 2022 The Microsoft and The HuggingFace Inc. team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apac...
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transformers
transformers-main/examples/research_projects/tapex/run_wikitablequestions_with_tapex.py
#!/usr/bin/env python # coding=utf-8 # Copyright 2022 The Microsoft and The HuggingFace Inc. team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apac...
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transformers
transformers-main/examples/research_projects/bert-loses-patience/run_glue_with_pabee.py
# coding=utf-8 # Copyright 2020 The Google AI Language Team Authors, The HuggingFace Inc. team and Microsoft Corporation. # Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License....
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transformers
transformers-main/examples/research_projects/bert-loses-patience/test_run_glue_with_pabee.py
import argparse import logging import sys from unittest.mock import patch import run_glue_with_pabee from transformers.testing_utils import TestCasePlus logging.basicConfig(level=logging.DEBUG) logger = logging.getLogger() def get_setup_file(): parser = argparse.ArgumentParser() parser.add_argument("-f")...
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transformers
transformers-main/examples/research_projects/bert-loses-patience/pabee/modeling_pabee_bert.py
# coding=utf-8 # Copyright 2020 The Google AI Language Team Authors, The HuggingFace Inc. team and Microsoft Corporation. # Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License....
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transformers
transformers-main/examples/research_projects/bert-loses-patience/pabee/__init__.py
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transformers
transformers-main/examples/research_projects/bert-loses-patience/pabee/modeling_pabee_albert.py
# coding=utf-8 # Copyright 2020 Google AI, Google Brain, the HuggingFace Inc. team and Microsoft Corporation. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/lic...
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transformers
transformers-main/examples/flax/conftest.py
# Copyright 2021 The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicabl...
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transformers
transformers-main/examples/flax/test_flax_examples.py
# coding=utf-8 # Copyright 2021 HuggingFace Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ag...
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transformers
transformers-main/examples/flax/question-answering/run_qa.py
#!/usr/bin/env python # coding=utf-8 # Copyright 2021 The HuggingFace Team All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-...
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transformers
transformers-main/examples/flax/question-answering/utils_qa.py
# coding=utf-8 # Copyright 2020 The HuggingFace Team All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless require...
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transformers
transformers-main/examples/flax/image-captioning/run_image_captioning_flax.py
#!/usr/bin/env python # coding=utf-8 # Copyright 2022 The HuggingFace Team All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-...
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transformers
transformers-main/examples/flax/image-captioning/create_model_from_encoder_decoder_models.py
#!/usr/bin/env python # coding=utf-8 # Copyright 2022 The HuggingFace Team All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-...
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transformers
transformers-main/examples/flax/token-classification/run_flax_ner.py
#!/usr/bin/env python # coding=utf-8 # Copyright 2021 The HuggingFace Inc. team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LI...
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transformers
transformers-main/examples/flax/summarization/run_summarization_flax.py
#!/usr/bin/env python # coding=utf-8 # Copyright 2021 The HuggingFace Team All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-...
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transformers
transformers-main/examples/flax/text-classification/run_flax_glue.py
#!/usr/bin/env python # coding=utf-8 # Copyright 2021 The HuggingFace Inc. team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LI...
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transformers
transformers-main/examples/flax/vision/run_image_classification.py
#!/usr/bin/env python # coding=utf-8 # Copyright 2021 The HuggingFace Team All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-...
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transformers
transformers-main/examples/flax/language-modeling/run_t5_mlm_flax.py
#!/usr/bin/env python # coding=utf-8 # Copyright 2021 The HuggingFace Team All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-...
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transformers
transformers-main/examples/flax/language-modeling/run_clm_flax.py
#!/usr/bin/env python # coding=utf-8 # Copyright 2021 The HuggingFace Team All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-...
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transformers
transformers-main/examples/flax/language-modeling/t5_tokenizer_model.py
#!/usr/bin/env python3 import json from typing import Iterator, List, Union from tokenizers import AddedToken, Regex, Tokenizer, decoders, normalizers, pre_tokenizers, trainers from tokenizers.implementations.base_tokenizer import BaseTokenizer from tokenizers.models import Unigram from tokenizers.processors import Te...
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transformers
transformers-main/examples/flax/language-modeling/run_mlm_flax.py
#!/usr/bin/env python # coding=utf-8 # Copyright 2021 The HuggingFace Team All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-...
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transformers
transformers-main/examples/flax/language-modeling/run_bart_dlm_flax.py
#!/usr/bin/env python # coding=utf-8 # Copyright 2021 The HuggingFace Team All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-...
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transformers
transformers-main/examples/pytorch/conftest.py
# Copyright 2020 The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicabl...
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transformers
transformers-main/examples/pytorch/xla_spawn.py
# Copyright 2020 The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicabl...
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transformers
transformers-main/examples/pytorch/old_test_xla_examples.py
# coding=utf-8 # Copyright 2018 HuggingFace Inc.. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or a...
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transformers
transformers-main/examples/pytorch/test_accelerate_examples.py
# coding=utf-8 # Copyright 2018 HuggingFace Inc.. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or a...
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transformers-main/examples/pytorch/test_pytorch_examples.py
# coding=utf-8 # Copyright 2018 HuggingFace Inc.. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or a...
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transformers
transformers-main/examples/pytorch/question-answering/trainer_seq2seq_qa.py
# coding=utf-8 # Copyright 2021 The HuggingFace Team All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless require...
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transformers
transformers-main/examples/pytorch/question-answering/run_qa.py
#!/usr/bin/env python # coding=utf-8 # Copyright 2020 The HuggingFace Team All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-...
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transformers
transformers-main/examples/pytorch/question-answering/run_qa_beam_search_no_trainer.py
#!/usr/bin/env python # coding=utf-8 # Copyright 2021 The HuggingFace Inc. team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LI...
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transformers
transformers-main/examples/pytorch/question-answering/utils_qa.py
# coding=utf-8 # Copyright 2020 The HuggingFace Team All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless require...
22,777
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transformers
transformers-main/examples/pytorch/question-answering/trainer_qa.py
# coding=utf-8 # Copyright 2020 The HuggingFace Team All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless require...
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transformers
transformers-main/examples/pytorch/question-answering/run_seq2seq_qa.py
#!/usr/bin/env python # coding=utf-8 # Copyright 2021 The HuggingFace Team All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-...
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transformers
transformers-main/examples/pytorch/question-answering/run_qa_beam_search.py
#!/usr/bin/env python # coding=utf-8 # Copyright 2020 The HuggingFace Team All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-...
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transformers
transformers-main/examples/pytorch/question-answering/run_qa_no_trainer.py
#!/usr/bin/env python # coding=utf-8 # Copyright 2021 The HuggingFace Inc. team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LI...
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transformers
transformers-main/examples/pytorch/benchmarking/plot_csv_file.py
# Copyright 2020 The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicabl...
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transformers
transformers-main/examples/pytorch/benchmarking/run_benchmark.py
#!/usr/bin/env python # coding=utf-8 # Copyright 2020 The HuggingFace Inc. team. # Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License a...
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transformers
transformers-main/examples/pytorch/token-classification/run_ner_no_trainer.py
#!/usr/bin/env python # coding=utf-8 # Copyright 2021 The HuggingFace Inc. team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LI...
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