Instructions to use alibidaran/LLAMA3-instructive_Python_reasoning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alibidaran/LLAMA3-instructive_Python_reasoning with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("alibidaran/LLAMA3-instructive_Python_reasoning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download adapter_model.safetensors from alibidaran/LLAMA3-instructive_Python_reasoning: direct link, hf CLI and curl.
- Browser
- Download file 336 MB
-
https://huggingface.co/alibidaran/LLAMA3-instructive_Python_reasoning/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://alibidaran/LLAMA3-instructive_Python_reasoning/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/alibidaran/LLAMA3-instructive_Python_reasoning/resolve/main/adapter_model.safetensors
336 MB
- Xet hash:
- 6c90652fa9020be86a60a048db0454097b7c3249780693e6dd618fa83b9cbb43
- Size of remote file:
- 336 MB
- SHA256:
- 1e574b78b44d3543031699e321d4f718af0abed2d0cc2e9567233aa86728c14d
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