Instructions to use unflowerq/LLaMa3_2_python_code_train_241109 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_241109 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("unflowerq/LLaMa3_2_python_code_train_241109", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from unflowerq/LLaMa3_2_python_code_train_241109: direct link, hf CLI and curl.
- Browser
- Download file 27.3 MB
-
https://huggingface.co/unflowerq/LLaMa3_2_python_code_train_241109/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://unflowerq/LLaMa3_2_python_code_train_241109/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/unflowerq/LLaMa3_2_python_code_train_241109/resolve/main/adapter_model.safetensors
27.3 MB
- Xet hash:
- 29018c7ad74910f893ec9c7f077eabcb23befbe5e64832be0ad3a92ca35f7fe2
- Size of remote file:
- 27.3 MB
- SHA256:
- c1de1625cc41dad317726bb0a6a9f194a67fd56d3bf84d16abd863fceafdab50
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