Instructions to use grc-iit/FunctionGemma-ndp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use grc-iit/FunctionGemma-ndp with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("grc-iit/FunctionGemma-ndp", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio
How to use grc-iit/FunctionGemma-ndp with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for grc-iit/FunctionGemma-ndp to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for grc-iit/FunctionGemma-ndp to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for grc-iit/FunctionGemma-ndp to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="grc-iit/FunctionGemma-ndp", max_seq_length=2048, )
File size: 775 Bytes
6121f68 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 | {
"backend": "tokenizers",
"boi_token": "<start_of_image>",
"bos_token": "<bos>",
"clean_up_tokenization_spaces": false,
"eoi_token": "<end_of_image>",
"eos_token": "<end_of_turn>",
"image_token": "<image_soft_token>",
"is_local": false,
"mask_token": "<mask>",
"model_max_length": 32768,
"model_specific_special_tokens": {
"boi_token": "<start_of_image>",
"eoi_token": "<end_of_image>",
"image_token": "<image_soft_token>",
"sfr_token": "<start_function_response>"
},
"pad_token": "<pad>",
"padding_side": "right",
"sfr_token": "<start_function_response>",
"sp_model_kwargs": null,
"spaces_between_special_tokens": false,
"tokenizer_class": "GemmaTokenizer",
"unk_token": "<unk>",
"use_default_system_prompt": false
}
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