Instructions to use nlp-project-uw/quant_1b_no_shift_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_no_shift_impl_BitNet_loss_CrossEntropy with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nlp-project-uw/quant_1b_no_shift_impl_BitNet_loss_CrossEntropy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 887d15f54fa073774957e456f480aed942c4f5a4f754a19ad4ecd816ac478982
- Size of remote file:
- 539 MB
- SHA256:
- 6003a079843a39b43c25689b26dec6dcc5ce507f75871553b91735a22617c4e4
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