Instructions to use DoNotChoke/llama-3.2-3B-it-thinking-function_calling-V0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DoNotChoke/llama-3.2-3B-it-thinking-function_calling-V0 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("DoNotChoke/llama-3.2-3B-it-thinking-function_calling-V0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 64d6faf1eb6add92aa15873b0d9fb09901129ccc557ae0cef13ed2da36b7cbc1
- Size of remote file:
- 17.2 MB
- SHA256:
- f0afea6fb0bd7eccc3b112848719d36057c3e178342cf88b5d8348ffd00e01bf
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