Instructions to use nlp-project-uw/quant_1_58b_impl_OneBit_loss_KL 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_KL with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nlp-project-uw/quant_1_58b_impl_OneBit_loss_KL", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fb69e09c5746551529f62b94da032ec91a34653808e877c0f1161adb27158754
- Size of remote file:
- 539 MB
- SHA256:
- 125b493a9c2f6ef6c3fc740700ba8a8776d0c035f5672ffe6c8b32731c7808b6
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