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https://api.github.com/repos/huggingface/transformers/issues/29161 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/29161/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/29161/comments | https://api.github.com/repos/huggingface/transformers/issues/29161/events | https://github.com/huggingface/transformers/issues/29161 | 2,145,902,969 | I_kwDOCUB6oc5_5-F5 | 29,161 | To enter token in jupyter notebook issue | {
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"Hi @arda1906, thanks for raising an issue!\r\n\r\nWithout more information about the error i.e. what does it mean to \"not work\" and what is the expected behaviour? we won't be able to help you. \r\n\r\nFrom the snippet, it's not entirely clear how the code is being run, but there are two separate commands which... | 1,708 | 1,708 | null | NONE | null | I run this [from huggingface_hub import notebook_login
notebook_login() ] on cell and enter my token. but it doesn't work:( | {
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https://api.github.com/repos/huggingface/transformers/issues/29160 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/29160/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/29160/comments | https://api.github.com/repos/huggingface/transformers/issues/29160/events | https://github.com/huggingface/transformers/pull/29160 | 2,145,779,053 | PR_kwDOCUB6oc5neHY8 | 29,160 | [WIP] add Fusion In Decoder model | {
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https://api.github.com/repos/huggingface/transformers/issues/29159 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/29159/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/29159/comments | https://api.github.com/repos/huggingface/transformers/issues/29159/events | https://github.com/huggingface/transformers/issues/29159 | 2,145,650,790 | I_kwDOCUB6oc5_5Ahm | 29,159 | [tokenizer] Inconsistent behavior in slow tokenizer and fast tokenizer | {
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"Hey! Thanks for opening an issue. \r\nFew things first. You are using a custom / local checkpoint with trust remote code. \r\n\r\nFast is not erroring out when you feed OOV, while slow is and it is indeed inconsistent. Would you like to open a PR for a fix? 🤗 ",
"Yes, I'll try that. Thank you for your reply!"
] | 1,708 | 1,708 | null | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.35.2
- Platform: Linux-5.4.0-163-generic-x86_64-with-glibc2.10
- Python version: 3.8.18
- Huggingface_hub version: 0.19.4
- Safetensors version: 0.4.1
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.1+cu121 (True)
- ... | {
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https://api.github.com/repos/huggingface/transformers/issues/29158 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/29158/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/29158/comments | https://api.github.com/repos/huggingface/transformers/issues/29158/events | https://github.com/huggingface/transformers/pull/29158 | 2,145,552,337 | PR_kwDOCUB6oc5ndVY6 | 29,158 | [PyTorch/XLA] Fix extra TPU compilations introduced by recent changes | {
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This PR tries to fix some extra TPU compilations caused by recent HF changes.
1. PyTorch/XLA doesn't support sdpa yet. So we need to set the default attention implementation to eager.
2. tensor.item() will trigger tpu graph synchronization. We should avoid using it in the training loop.
... | {
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- `transformers` version: 4.38.0.dev0
- Platform: Linux-5.15.0-78-generic-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.20.3
- Safetensors version: 0.4.2
- Accelerate version: 0.28.0.dev0
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.2+cu121 (True... | {
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https://api.github.com/repos/huggingface/transformers/issues/29156 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/29156/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/29156/comments | https://api.github.com/repos/huggingface/transformers/issues/29156/events | https://github.com/huggingface/transformers/pull/29156 | 2,145,522,407 | PR_kwDOCUB6oc5ndO3J | 29,156 | Making extensible | {
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"Hi @ddevaul, what is the purpose of this PR? \r\n"
] | 1,708 | 1,708 | null | NONE | null | # What does this PR do?
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/29155 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/29155/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/29155/comments | https://api.github.com/repos/huggingface/transformers/issues/29155/events | https://github.com/huggingface/transformers/issues/29155 | 2,145,382,760 | I_kwDOCUB6oc5_3_Fo | 29,155 | PyTest import error | {
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Current head of transformers shows this issue, when importing functions from pytest, the `import_path` function is not found. Sample error from DeepSpeed's unit tests [here](https://github.com/microsoft/DeepSpeed/actions/runs/7977730884/job/21781270161?pr=5164#step:7:391).
```
______________ ERROR... | {
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https://api.github.com/repos/huggingface/transformers/issues/29154 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/29154/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/29154/comments | https://api.github.com/repos/huggingface/transformers/issues/29154/events | https://github.com/huggingface/transformers/pull/29154 | 2,145,294,779 | PR_kwDOCUB6oc5nccpR | 29,154 | Update pytest `import_path` location | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_29154). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 1,708 | 1,708 | null | NONE | null | # What does this PR do?
Fixes location of `import_path` from pytest from `_pytest.doctest` to `_pytest.pathlib` when using PyTest 8.0.1+ since it is finally deprecated from being in `_pytest.doctest`. It is provided in `_pytest.pathlib` from at least 7.2.0+ so we do not need to modify the supported pytest range in ... | {
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"cc @younesbelkada @pacman100 ",
"Hi @RonanKMcGovern ! \r\nThanks for the feature request! There is already an ongoing work from @BenjaminBossan to add DoRA in PEFT: https://github.com/huggingface/peft/pull/1474",
"Closing as there is a PR underway.",
"OK thank you @RonanKMcGovern !"
] | 1,708 | 1,708 | null | NONE | null | ### Feature request
Improves on LoRA by allowing magnitude fine-tuning.
### Motivation
Improved perplexity.
### Your contribution
Sebastien Bubeck has published demo code. https://github.com/rasbt/dora-from-scratch | {
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https://api.github.com/repos/huggingface/transformers/issues/29152 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/29152/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/29152/comments | https://api.github.com/repos/huggingface/transformers/issues/29152/events | https://github.com/huggingface/transformers/pull/29152 | 2,145,071,699 | PR_kwDOCUB6oc5nbr5K | 29,152 | Alternative approach | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_29152). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 1,708 | 1,708 | null | COLLABORATOR | null | # What does this PR do?
Alternative way to use stop words for generated sequences. Note - it doesn't
<details>
<summary>Script</summary>
```py
import time
import numpy as np
from transformers.generation.stopping_criteria import StopStringCriteria, StopStringCriteria2
from transformers import AutoToke... | {
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"cc @gante ",
"@fxmarty this is the same problem as we have in TF and Flax. There, we nudged users to use the `pad_to_multiple_of` argument in the tokenizer, which I believe solves the problem 🤗 \r\n\r\nHow do you suggest us to let users know about this feature, other than docs?"
] | 1,708 | 1,708 | null | COLLABORATOR | null | ### Feature request
When using torch.compile, the prefill is recompiled for every new sequence length, which is slow. It may be nice to be able to compile only say for some sequence lengths (`1, 2, 4, 16, 32, 64, 128, 256, 512, 1024, 2048, 4096, etc`) on the fly depending on the input lengths, using some padding.
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https://api.github.com/repos/huggingface/transformers/issues/29150 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/29150/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/29150/comments | https://api.github.com/repos/huggingface/transformers/issues/29150/events | https://github.com/huggingface/transformers/issues/29150 | 2,144,941,834 | I_kwDOCUB6oc5_2TcK | 29,150 | Difficulty in adding custom model | {
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"Hi @El-chapo-007, thanks for opening this issue! \r\n\r\nGlad to hear that your journey has been mostly successful 🤗 \r\n\r\nHave you seen our documentation page about adding custom models? This should contain all the info and example code needed to get started: https://huggingface.co/docs/transformers/custom_mod... | 1,708 | 1,708 | null | NONE | null | ### Feature request
Hi
Hope all the team members of hugging face are well
I am a student and currently doing work on nlp projects , although most of my journey was successful because well documented information for starters especially example notebooks but what part is confusing and difficult is to upload and cr... | {
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"@zucchini-nlp FYI. We shouldn't fix this now, as it requires significant manual labor to update all models. After the static cache sprint we should have a look at this :)"
] | 1,708 | 1,708 | null | MEMBER | null | Thank you @tengomucho, for uncovering this bug.
### The problem
In a nutshell, passing the correct `position_ids` to `generate` should result in exactly the same results as not passing them. In other words, the following test should pass on all models, if added to `GenerationTesterMixin`. We can see that it is fa... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_29148). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 1,708 | 1,708 | null | MEMBER | null | # What does this PR do?
Continuation of PR #28984. Adds token level timestamps for long-form generation. The previous PR had a quite different of way to add timestamps, specifically by calling `extract_timestamps` for each segment and each batch separately. I believe, it can be done in one batch, and then divided in... | {
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"Thanks for reviewing, @amyeroberts!"
] | 1,708 | 1,708 | 1,708 | CONTRIBUTOR | null | # What does this PR do?
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_29146). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 1,708 | 1,708 | 1,708 | MEMBER | null | # What does this PR do?
These tests were failing with low likelihood, all for the same reason as fixed in [this recent PR](https://github.com/huggingface/transformers/pull/28923): there should be no EOS token to enable endless generation, but the generation config still had the default value.
I couldn't find more... | {
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Model Name: allenai/OLMo-7B
### Open source status
- [X] The model implementation is available
- [X] The model weights are available
### Provide useful links for the implementation
_No response_ | {
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```
Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cuda:1
```
error. This patch makes an explicit copy... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_29143). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 1,708 | 1,708 | null | MEMBER | null | # What does this PR do?
(see title :))
Review suggestion:
1. Review changes in Llama
2. Review the rest | {
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] | 1,708 | 1,708 | null | CONTRIBUTOR | null | # What does this PR do?
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] | 1,708 | 1,708 | 1,708 | COLLABORATOR | null | # What does this PR do?
This way, `pytest` will run before `cache saving` and we have access to the results earlier in the case of partial or no cache loaded. | {
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"Hey, thanks for the issue! I've checked out your branch, from what I'm seeing tests are passing on your fix, would you mind opening a PR? \r\nAlso, since this will affect training, do you have a script that compares both in a training scenario? AFAIK current integration tests for Dinov2 are not in a training setti... | 1,708 | 1,708 | 1,708 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.38.0.dev0
- Platform: Linux-5.15.0-91-generic-x86_64-with-glibc2.31
- Python version: 3.11.7
- Huggingface_hub version: 0.20.3
- Safetensors version: 0.4.2
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?): 2.2.0 (True)
- Ten... | {
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https://api.github.com/repos/huggingface/transformers/issues/29139 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/29139/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/29139/comments | https://api.github.com/repos/huggingface/transformers/issues/29139/events | https://github.com/huggingface/transformers/issues/29139 | 2,144,132,992 | I_kwDOCUB6oc5_zN-A | 29,139 | past_key_values for SeamlessM4Tv2ForSpeechToText is not working as expected | {
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"cc @ylacombe "
] | 1,708 | 1,708 | null | NONE | null | ### System Info
transformers version: 4.37.2
python verison: 3.8.6.
OS: Windows 11
### Who can help?
@sanchit-gandhi
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [X] My own task... | {
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https://api.github.com/repos/huggingface/transformers/issues/29138 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/29138/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/29138/comments | https://api.github.com/repos/huggingface/transformers/issues/29138/events | https://github.com/huggingface/transformers/pull/29138 | 2,144,115,768 | PR_kwDOCUB6oc5nYZN3 | 29,138 | Fix ROPE embeddings for LLama | {
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This [test](https://app.circleci.com/pipelines/github/huggingface/transformers/84847/workflows/2a5e5769-9431-4e2b-babb-81a112558a97/jobs/1098065) failed on my PR and I checked to see the reason. I found that the changes introduced to make llama compile compatible are causing the issue.
Th... | {
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"cc @ArthurZucker ",
"Hey! Thanks for reporting. \r\n`tokenizer.Load(self.vocab_file)` seems to be the issue here. If you check the repo it does not have the `tokenizer.model` .\r\nYou should raise the issue there! \r\n",
"Thanks @ArthurZucker 👍 "
] | 1,708 | 1,708 | 1,708 | NONE | null | ### System Info
- `transformers` version: 4.37.2
- Platform: Linux-5.15.133.1-microsoft-standard-WSL2-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.19.4
- Safetensors version: 0.4.1
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_29136). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"@amyeroberts #29109 seems to have fixed most of the issue (this test does compare ... | 1,708 | 1,708 | null | MEMBER | null | # What does this PR do?
As identified by @molbap -- generate tests with the `low_memory` flag are flaky. The full reason is the same as explained in [this comment](https://github.com/huggingface/transformers/issues/25420#issuecomment-1775317535).
The error likelihood has low (~3%), but still quite disruptive for ... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_29135). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"Sounds good, thanks for taking care of this!"
] | 1,708 | 1,708 | 1,708 | COLLABORATOR | null | # What does this PR do?
Reverts #28948 and #29043
See relevant comment: https://github.com/huggingface/transformers/pull/29110#issuecomment-1953847826
cc @hackyon @ydshieh
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_29134). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 1,708 | 1,708 | null | CONTRIBUTOR | null | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_29133). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"I'll make sure of that before merging! Testing now!",
"```bash\r\nFAILED tests/m... | 1,708 | 1,708 | 1,708 | COLLABORATOR | null | # What does this PR do?
Fixes #29130, from 1min to 6seconds | {
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* Added the max_matching_ngram_size parameter into the GenerationConfig, for the PromptLookupCandidateGenerator.
* Included the max_matching_ngram_size when calling the __init__ of PromptLookupCandidateGenerator in _get_candidate_generator, in case it is specified.
## Who can review?
... | {
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Some models like Deformable DETR rely on custom CUDA kernels to be compiled as seen [here](https://github.com/huggingface/transformers/blob/f7ef7cec6c6c162087421f36a17eabdbb223579d/src/transformers/models/deformable_detr/modeling_deformable_detr.py#L54).
Currently these are compiled when importi... | {
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"Not that expert but I suggest you can try bettertransformer for extreme speed up. （ In my knowledge that flash-attn is mainly focused on kv cache which is not exist on Bert-like model in most cases. )",
"> Not that expert but I suggest you can try bettertransformer for extreme speed up. （ In my knowledge that fl... | 1,708 | 1,708 | null | NONE | null | ### Model description
hello and thanks community.
I am trying to replace standard attention by flash attention in the BERT base Model. Anyone please help not able to find any tutorial or any discussions.
or just give some directions how to do that ..I have got the idea of making attention prob drop prob = 0 . it m... | {
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"cc @ArthurZucker @younesbelkada ",
"Hey @Aisuko, could you provide a **minimal** reproducer ? That would help use! \r\nAlso note that the `generation parameters` issues can probably be safely ignored. The missing keys is however a bit more problematic! \r\nMight be tied weights that are not tied properly, is `ti... | 1,708 | 1,708 | null | NONE | null | ### System Info
- `transformers` version: 4.37.2
- Platform: Linux-5.15.133+-x86_64-with-glibc2.31
- Python version: 3.10.13
- Huggingface_hub version: 0.20.3
- Safetensors version: 0.4.2
- Accelerate version: 0.26.1
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.2 (True)
- Tensorflow version ... | {
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https://api.github.com/repos/huggingface/transformers/issues/29127 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/29127/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/29127/comments | https://api.github.com/repos/huggingface/transformers/issues/29127/events | https://github.com/huggingface/transformers/issues/29127 | 2,143,620,996 | I_kwDOCUB6oc5_xQ-E | 29,127 | err_handle(layoutlmv3): Error message doesn't give much clarity when boxes not containing enough information | {
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"Would you like to open a PR to improve the error? 🤗 ",
"Sure"
] | 1,708 | 1,708 | null | NONE | null | ### System Info
- `transformers` version: 4.37.2
- Platform: Windows-10-10.0.22000-SP0
- Python version: 3.11.5
- Huggingface_hub version: 0.20.3
- Safetensors version: 0.4.2
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?): 2.2.0+cpu (False)
- Tensorflow version (G... | {
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https://api.github.com/repos/huggingface/transformers/issues/29126 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/29126/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/29126/comments | https://api.github.com/repos/huggingface/transformers/issues/29126/events | https://github.com/huggingface/transformers/issues/29126 | 2,143,539,045 | I_kwDOCUB6oc5_w89l | 29,126 | WARNING: tokenization mismatch: 43 vs. 44. (ignored) | {
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"Hi @lucasjinreal, \r\n\r\nWithout a code sample to replicate, information about the running environment or more information about the error - including full trackback - there isn't much we can do to help you here."
] | 1,708 | 1,708 | null | NONE | null | Recently there are many errors got either from fastchat or llava code base if using latest transfomers.
WARNING: tokenization mismatch: 43 vs. 44. (ignored)
What does this happen and how to dismiss it? Will it effect the final training result? | {
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https://api.github.com/repos/huggingface/transformers/issues/29125 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/29125/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/29125/comments | https://api.github.com/repos/huggingface/transformers/issues/29125/events | https://github.com/huggingface/transformers/pull/29125 | 2,143,504,797 | PR_kwDOCUB6oc5nWUBE | 29,125 | feat: Upgrade Weights & Biases callback | {
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This PR adds a few new functionalities to the Weights & Biases Callback
- Logs Peft and Lora Config to wandb if present
- Adds model parameter counts to wandb config and artifact metadata
- Adds on_predict methods to log prediction metrics
- Prints the model architecture to a file alongsi... | {
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https://api.github.com/repos/huggingface/transformers/issues/29123 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/29123/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/29123/comments | https://api.github.com/repos/huggingface/transformers/issues/29123/events | https://github.com/huggingface/transformers/pull/29123 | 2,143,416,822 | PR_kwDOCUB6oc5nWA8d | 29,123 | [`Core generation`] Let's be less restrictive on the arguments passed to the generation calls. | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_29123). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 1,708 | 1,708 | null | COLLABORATOR | null | # What does this PR do?
Updates generate calls | {
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https://api.github.com/repos/huggingface/transformers/issues/29122 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/29122/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/29122/comments | https://api.github.com/repos/huggingface/transformers/issues/29122/events | https://github.com/huggingface/transformers/pull/29122 | 2,143,413,555 | PR_kwDOCUB6oc5nWARN | 29,122 | FIX [`bnb` / `tests`] Propagate the changes from #29092 to 4-bit tests | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_29122). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 1,708 | 1,708 | 1,708 | CONTRIBUTOR | null | # What does this PR do?
As per title, I overlooked the fix and forgot to push the changes of https://github.com/huggingface/transformers/pull/29092 in 4-bit tests 😢
cc @amyeroberts @Titus-von-Koeller | {
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"Hi @javilonso ! \r\nI quickly tried on transformers main: \r\n```python\r\nfrom transformers import pipeline\r\n\r\nunmasker = pipeline('fill-mask', model='distilbert-base-uncased')\r\nunmasker(\"Hello I'm a [MASK] model.\")\r\n```\r\nBut I did not managed to repro, can you share a snippet to reproduce the issue?\... | 1,708 | 1,708 | null | NONE | null | ### System Info
Obtaining this error in last transformers 4.37.2, but works correctly in transformers 4.35.2
Simple inference with a finetuned distilbert model.
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supporte... | {
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https://api.github.com/repos/huggingface/transformers/issues/29120 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/29120/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/29120/comments | https://api.github.com/repos/huggingface/transformers/issues/29120/events | https://github.com/huggingface/transformers/pull/29120 | 2,143,042,742 | PR_kwDOCUB6oc5nUwcG | 29,120 | Starcoder2 model | {
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* Use layer norm (RMS still available as option)
* Use standard MLP (gated still available as option)
* Add back biases (optional)
* Change (default?) tokenizer class
*Embedding and... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_29119). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 1,708 | 1,708 | 1,708 | MEMBER | null | # What does this PR do?:
Thank you @fxmarty for raising [this issue](https://github.com/huggingface/transformers/pull/25381#issuecomment-1952527813).
This PR allows users to unset (= set to `None`) unused parameters to ensure `generation_config.validate()` doesn't throw a warning. Previously, this was not possibl... | {
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