Instructions to use Rcarvalo/cesame4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rcarvalo/cesame4bit with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Rcarvalo/cesame4bit", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- 039bf375f71777b13d7a8ac42a1d6a039f420a85588c22a5118087ab9e3876dc
- Size of remote file:
- 232 MB
- SHA256:
- 8b56917bfa52bcf6067c4d3f10508c682f327b97174782fe84e8573d7dc86ceb
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