Instructions to use nlp-project-uw/quant_1_58b_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_1_58b_impl_BitNet_loss_CrossEntropy with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nlp-project-uw/quant_1_58b_impl_BitNet_loss_CrossEntropy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d6e318d5447f75c139618c930c48441acc678602723f24c15a4f36cbd3730cb3
- Size of remote file:
- 539 MB
- SHA256:
- 3b70c659b494c22a1e0ab97499474efcc39453e7a041340b7484eb5a4c5f7317
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