Instructions to use afg1/SmolLM2-135M-Instruct-thinking-function_calling-V0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use afg1/SmolLM2-135M-Instruct-thinking-function_calling-V0 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("afg1/SmolLM2-135M-Instruct-thinking-function_calling-V0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from afg1/SmolLM2-135M-Instruct-thinking-function_calling-V0: direct link, hf CLI and curl.
- Browser
- Download file 5.69 kB
-
https://huggingface.co/afg1/SmolLM2-135M-Instruct-thinking-function_calling-V0/resolve/main/training_args.bin
- Command line
-
hf download hf://afg1/SmolLM2-135M-Instruct-thinking-function_calling-V0/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/afg1/SmolLM2-135M-Instruct-thinking-function_calling-V0/resolve/main/training_args.bin
5.69 kB
- Xet hash:
- 464125d96aeeaa69ff148a89cbcf5bb218afa468eadcdf443fdbc2528b1d3cfb
- Size of remote file:
- 5.69 kB
- SHA256:
- 9d7cd2bcc5c02d9e6e71ef065e60baca4270092c3836a69b16d9b919b99c74de
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