Instructions to use harish/AStitchInLanguageModels-Task2_PT_SentTransTokenizedNoPreTrain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harish/AStitchInLanguageModels-Task2_PT_SentTransTokenizedNoPreTrain with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("harish/AStitchInLanguageModels-Task2_PT_SentTransTokenizedNoPreTrain", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download 0_Transformer/pytorch_model.bin from harish/AStitchInLanguageModels-Task2_PT_SentTransTokenizedNoPreTrain: direct link, hf CLI and curl.
- Browser
- Download file 711 MB
-
https://huggingface.co/harish/AStitchInLanguageModels-Task2_PT_SentTransTokenizedNoPreTrain/resolve/main/0_Transformer/pytorch_model.bin
- Command line
-
hf download hf://harish/AStitchInLanguageModels-Task2_PT_SentTransTokenizedNoPreTrain/0_Transformer/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/harish/AStitchInLanguageModels-Task2_PT_SentTransTokenizedNoPreTrain/resolve/main/0_Transformer/pytorch_model.bin
711 MB
- Xet hash:
- 46480c28bf2a4c8b59b7962c4bf7c9ad625aece00a44f9b254fff3a64382078a
- Size of remote file:
- 711 MB
- SHA256:
- 9721e0164e6edebd49c9016cb2844d5055dc023daca4666ba89948d4d1a066cf
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