Instructions to use nlp-project-uw/quant_1_58b_impl_OneBit_loss_CAKL 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_OneBit_loss_CAKL with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nlp-project-uw/quant_1_58b_impl_OneBit_loss_CAKL", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1edd1d398e395fff91246879be01a8809541120a3baf57cfe7efa4fd9b142eaf
- Size of remote file:
- 539 MB
- SHA256:
- 8c0966bb2abf52987e8ca7c28e1aa09275dfb5a190c4b726639cd1dba08ac24c
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