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:
- 1a9ea9fd18df92f70b38dd593455bfa2faeec9233cd023fed4df8b7384584e8b
- Size of remote file:
- 539 MB
- SHA256:
- 6bc25c32cc77663127cffb0a7587f29bb475b1b48df5e102d76972db846dab34
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