Instructions to use Wsassi/llama_3_8b_instruct_function_calling with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Wsassi/llama_3_8b_instruct_function_calling with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Wsassi/llama_3_8b_instruct_function_calling", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from Wsassi/llama_3_8b_instruct_function_calling: direct link, hf CLI and curl.
- Browser
- Download file 75.5 MB
-
https://huggingface.co/Wsassi/llama_3_8b_instruct_function_calling/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://Wsassi/llama_3_8b_instruct_function_calling/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/Wsassi/llama_3_8b_instruct_function_calling/resolve/main/adapter_model.safetensors
75.5 MB
- Xet hash:
- 5fbe85f394de3163a761d9f17cfb4b889fe92b2df43642596b7ba7829381bdb7
- Size of remote file:
- 75.5 MB
- SHA256:
- 7105eb16e5d1b2b6b5453b874d5ee07b37112babcb28891b97fc5ac8c6d58cd5
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