Instructions to use diegoakel/llama3.2-1B-PythonInstruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use diegoakel/llama3.2-1B-PythonInstruct with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("diegoakel/llama3.2-1B-PythonInstruct", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download adapter_model.safetensors from diegoakel/llama3.2-1B-PythonInstruct: direct link, hf CLI and curl.
- Browser
- Download file 45.1 MB
-
https://huggingface.co/diegoakel/llama3.2-1B-PythonInstruct/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://diegoakel/llama3.2-1B-PythonInstruct/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/diegoakel/llama3.2-1B-PythonInstruct/resolve/main/adapter_model.safetensors
45.1 MB
- Xet hash:
- b7a900974e921af826188aeab7cec870a37c56cf32b6896192eaf1130cfda434
- Size of remote file:
- 45.1 MB
- SHA256:
- 8ebd7fe6f8528392eb23404ef45ecc98fe3f4964b75994c3dd80e28433a8b96b
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