Instructions to use gbv/SmolLM2-1.7B-Instruct-thinking-function_calling-V0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gbv/SmolLM2-1.7B-Instruct-thinking-function_calling-V0 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("gbv/SmolLM2-1.7B-Instruct-thinking-function_calling-V0", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a1c956e7097f158f9b8904a24c73b058b637e7fb57f46bcc7a74aa99a510cd3
- Size of remote file:
- 5.62 kB
- SHA256:
- a2debabb8a1af139f63769c0a65cd8fb8b2c86b1fb98611dec21143a601ed269
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