Instructions to use unflowerq/LLaMa3_2_python_code_train_241104 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use unflowerq/LLaMa3_2_python_code_train_241104 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("unflowerq/LLaMa3_2_python_code_train_241104", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from unflowerq/LLaMa3_2_python_code_train_241104: direct link, hf CLI and curl.
- Browser
- Download file 27.3 MB
-
https://huggingface.co/unflowerq/LLaMa3_2_python_code_train_241104/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://unflowerq/LLaMa3_2_python_code_train_241104/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/unflowerq/LLaMa3_2_python_code_train_241104/resolve/main/adapter_model.safetensors
27.3 MB
- Xet hash:
- 510bad889cf936d1a233981a8d82a871feba504a4e6f9ba8590f3925b75aa80c
- Size of remote file:
- 27.3 MB
- SHA256:
- be0f25ee942d74b8c5a13adb58376b323fe189c4f0d8fdd17cc7866302436886
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