Instructions to use nlp-project-uw/quant_1b_impl_BitNet_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_1b_impl_BitNet_loss_CrossEntropy with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nlp-project-uw/quant_1b_impl_BitNet_loss_CrossEntropy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aad4962003392735cad781e2db49d5a1f6a90ee4b76fd31f5545028f1433f182
- Size of remote file:
- 539 MB
- SHA256:
- 51ff9ea8d46cea0aa52aa2cd838005c8cee9c554cc06a020d30131256d3f6214
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