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 training_args.bin from ml5050/SmolLM2-1.7B-Instruct-thinking-function_calling-V0: direct link, hf CLI and curl.
- Browser
- Download file 5.62 kB
-
https://huggingface.co/ml5050/SmolLM2-1.7B-Instruct-thinking-function_calling-V0/resolve/main/training_args.bin
- Command line
-
hf download hf://ml5050/SmolLM2-1.7B-Instruct-thinking-function_calling-V0/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ml5050/SmolLM2-1.7B-Instruct-thinking-function_calling-V0/resolve/main/training_args.bin
5.62 kB
- Xet hash:
- 78e553a03cb4a00fbb29e46c20bd2c8368f0594002d2526b0e1ecadeef7b4428
- Size of remote file:
- 5.62 kB
- SHA256:
- 570630eefa2428e722f93c5c29907c63c61d1a104a7abf30282f4cfce0a43bab
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