Instructions to use LocalLite/python-code-completion-mistral-24B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LocalLite/python-code-completion-mistral-24B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LocalLite/python-code-completion-mistral-24B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from LocalLite/python-code-completion-mistral-24B: direct link, hf CLI and curl.
- Browser
- Download file 1.48 GB
-
https://huggingface.co/LocalLite/python-code-completion-mistral-24B/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://LocalLite/python-code-completion-mistral-24B/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/LocalLite/python-code-completion-mistral-24B/resolve/main/adapter_model.safetensors
1.48 GB
- Xet hash:
- d655af0174caae5a2cb625e890fb1c39e3754180e1efcf4c0b25a189a11a651d
- Size of remote file:
- 1.48 GB
- SHA256:
- 9459b29ad0d47f921926c9da7a23898207a6aa5d67546b508e451a575b03c0a4
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