Instructions to use nlp-project-uw/quant_1_58b_impl_OneBit_loss_CrossEntropy 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_CrossEntropy with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nlp-project-uw/quant_1_58b_impl_OneBit_loss_CrossEntropy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a5296bf234769d9f0310642a3a5fa926b473a282680efd30df423847062e1036
- Size of remote file:
- 539 MB
- SHA256:
- 2e7e030d71f7b997233ce315b1919f68eecd0103211eb12dbe54d0e0093e7921
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