Instructions to use harish/AStitchInLanguageModels-Task2_EN_SentTransAllTokenizedFineTuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harish/AStitchInLanguageModels-Task2_EN_SentTransAllTokenizedFineTuned with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("harish/AStitchInLanguageModels-Task2_EN_SentTransAllTokenizedFineTuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download 0_Transformer/pytorch_model.bin from harish/AStitchInLanguageModels-Task2_EN_SentTransAllTokenizedFineTuned: direct link, hf CLI and curl.
- Browser
- Download file 433 MB
-
https://huggingface.co/harish/AStitchInLanguageModels-Task2_EN_SentTransAllTokenizedFineTuned/resolve/main/0_Transformer/pytorch_model.bin
- Command line
-
hf download hf://harish/AStitchInLanguageModels-Task2_EN_SentTransAllTokenizedFineTuned/0_Transformer/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/harish/AStitchInLanguageModels-Task2_EN_SentTransAllTokenizedFineTuned/resolve/main/0_Transformer/pytorch_model.bin
433 MB
- Xet hash:
- 5ea9d81ae31d082a1fbcdd34076c59ca1c73407a60b3aac1110a166e1ca73a20
- Size of remote file:
- 433 MB
- SHA256:
- 2e71aed79994ffe86487b0fe457cc5499a9927f4d5d77d54cb21f236c69d33d8
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