Instructions to use intelcomp/ipc_level1_A with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use intelcomp/ipc_level1_A with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="intelcomp/ipc_level1_A")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("intelcomp/ipc_level1_A") model = AutoModelForSequenceClassification.from_pretrained("intelcomp/ipc_level1_A") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 23a22e8a615d6913f26e4793177704447a35a6943f77af6b7dac88863e053c0a
- Size of remote file:
- 1.42 GB
- SHA256:
- 38b922152043be2d9c8c0cdd6123a06fb3e3d564f2c455337d652e3dd761ca5a
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