Instructions to use LocalLite/python-code-cot-ministral-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LocalLite/python-code-cot-ministral-8B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LocalLite/python-code-cot-ministral-8B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from LocalLite/python-code-cot-ministral-8B: direct link, hf CLI and curl.
- Browser
- Download file 698 MB
-
https://huggingface.co/LocalLite/python-code-cot-ministral-8B/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://LocalLite/python-code-cot-ministral-8B/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/LocalLite/python-code-cot-ministral-8B/resolve/main/adapter_model.safetensors
698 MB
- Xet hash:
- 7d07aae3c1016fdc940466a5b42d1ad8e53292a7e6c07f2bc32fd0f84f1b77f0
- Size of remote file:
- 698 MB
- SHA256:
- b9eacedba6ba279469ac8b08f940a74eb557ffdb61f3015d5e6bdc20a895736a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.