Instructions to use Novaspree/factify-Gemma3-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Novaspree/factify-Gemma3-adapter with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Novaspree/factify-Gemma3-adapter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Novaspree/factify-Gemma3-adapter: direct link, hf CLI and curl.
- Browser
- Download file 33.4 MB
-
https://huggingface.co/Novaspree/factify-Gemma3-adapter/resolve/main/tokenizer.json
- Command line
-
hf download hf://Novaspree/factify-Gemma3-adapter/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Novaspree/factify-Gemma3-adapter/resolve/main/tokenizer.json
33.4 MB
- Xet hash:
- c3f68c27d8a65fb137853bc4c917d75ff995bee4082cf58a9c4e490b2957fc3d
- Size of remote file:
- 33.4 MB
- SHA256:
- f4708757955e49e5b23494815a523ffa5bdd0a7b67c09d16a093f6151245ec5b
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