Instructions to use unflowerq/LLaMa3_2_3B_python_code_train_241119 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use unflowerq/LLaMa3_2_3B_python_code_train_241119 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("unflowerq/LLaMa3_2_3B_python_code_train_241119", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from unflowerq/LLaMa3_2_3B_python_code_train_241119: direct link, hf CLI and curl.
- Browser
- Download file 73.4 MB
-
https://huggingface.co/unflowerq/LLaMa3_2_3B_python_code_train_241119/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://unflowerq/LLaMa3_2_3B_python_code_train_241119/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/unflowerq/LLaMa3_2_3B_python_code_train_241119/resolve/main/adapter_model.safetensors
73.4 MB
- Xet hash:
- e3f352ccd2ec66da07628565fbf7dc330f6ff31d2107c00052786eb991992303
- Size of remote file:
- 73.4 MB
- SHA256:
- 7c95bc961899a2213225ab85f0803100d69d96840335e6df5e2f899b55efaed9
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