Instructions to use lmassaron/gemma-3-270M-it-function_calling with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lmassaron/gemma-3-270M-it-function_calling with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lmassaron/gemma-3-270M-it-function_calling", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from lmassaron/gemma-3-270M-it-function_calling: direct link, hf CLI and curl.
- Browser
- Download file 1.16 MB
-
https://huggingface.co/lmassaron/gemma-3-270M-it-function_calling/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://lmassaron/gemma-3-270M-it-function_calling/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/lmassaron/gemma-3-270M-it-function_calling/resolve/main/tokenizer_config.json
1.16 MB
File too large to display, you can check the raw version instead.