Instructions to use NorviTech/arrmes-functiongemma-270m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use NorviTech/arrmes-functiongemma-270m with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download NorviTech/arrmes-functiongemma-270m --local-dir arrmes-functiongemma-270m
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download tokenizer.json from NorviTech/arrmes-functiongemma-270m: direct link, hf CLI and curl.
- Browser
- Download file 33.4 MB
-
https://huggingface.co/NorviTech/arrmes-functiongemma-270m/resolve/main/tokenizer.json
- Command line
-
hf download hf://NorviTech/arrmes-functiongemma-270m/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/NorviTech/arrmes-functiongemma-270m/resolve/main/tokenizer.json
33.4 MB
- Xet hash:
- 3e2e56c5c08a9f41ceb3fc3fbcd2c512a72fe0285f193eeb743ffd6b853a8c28
- Size of remote file:
- 33.4 MB
- SHA256:
- 3b83627b470a2b3eeb6cbd480490191e50f21549cb3de1d0fcc1a001a48c6c04
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