Instructions to use nlp-project-uw/quant_1_58b_impl_OneBit_loss_Wasserstein with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nlp-project-uw/quant_1_58b_impl_OneBit_loss_Wasserstein with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nlp-project-uw/quant_1_58b_impl_OneBit_loss_Wasserstein", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 22bacf45866b70470b4fd8b3bb4d16a1db4abd6f4da19f2be42fa89d1f193e74
- Size of remote file:
- 539 MB
- SHA256:
- a0fa578ab6b52f68dcce484fc13b95343c33992682252e4e9007d5095404169b
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