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:
- 465b1f9d264d65faf9abf4728e58cdd1477c0e6cb9fc626e800a833dc4a65ca4
- Size of remote file:
- 539 MB
- SHA256:
- a45b66dba8b47ab77ee1bd0a1b5daef24ac80fd7f2db2565b9babe4c31b39bc3
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