Instructions to use harish/AStitchInLanguageModels-Task2_PT_SentTransAllTokenizedFineTuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harish/AStitchInLanguageModels-Task2_PT_SentTransAllTokenizedFineTuned with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("harish/AStitchInLanguageModels-Task2_PT_SentTransAllTokenizedFineTuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download 0_Transformer/pytorch_model.bin from harish/AStitchInLanguageModels-Task2_PT_SentTransAllTokenizedFineTuned: direct link, hf CLI and curl.
- Browser
- Download file 711 MB
-
https://huggingface.co/harish/AStitchInLanguageModels-Task2_PT_SentTransAllTokenizedFineTuned/resolve/main/0_Transformer/pytorch_model.bin
- Command line
-
hf download hf://harish/AStitchInLanguageModels-Task2_PT_SentTransAllTokenizedFineTuned/0_Transformer/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/harish/AStitchInLanguageModels-Task2_PT_SentTransAllTokenizedFineTuned/resolve/main/0_Transformer/pytorch_model.bin
711 MB
- Xet hash:
- 70aab2f6dc0c1ba3c62f20768e937c8100c27520062a79b8aeac2a604037542c
- Size of remote file:
- 711 MB
- SHA256:
- a2f430d0f47c5b5980404e6e74973da4e88a83ae06f4a4fee7068392c19811fe
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