Instructions to use ml5050/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 ml5050/SmolLM2-1.7B-Instruct-thinking-function_calling-V0 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ml5050/SmolLM2-1.7B-Instruct-thinking-function_calling-V0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from ml5050/SmolLM2-1.7B-Instruct-thinking-function_calling-V0: direct link, hf CLI and curl.
- Browser
- Download file 3.52 MB
-
https://huggingface.co/ml5050/SmolLM2-1.7B-Instruct-thinking-function_calling-V0/resolve/main/tokenizer.json
- Command line
-
hf download hf://ml5050/SmolLM2-1.7B-Instruct-thinking-function_calling-V0/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/ml5050/SmolLM2-1.7B-Instruct-thinking-function_calling-V0/resolve/main/tokenizer.json
3.52 MB
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