Instructions to use LucasFMartins/gemma-3-finetuned-judge-llm-model-advanced with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LucasFMartins/gemma-3-finetuned-judge-llm-model-advanced with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LucasFMartins/gemma-3-finetuned-judge-llm-model-advanced", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from LucasFMartins/gemma-3-finetuned-judge-llm-model-advanced: direct link, hf CLI and curl.
- Browser
- Download file 33.4 MB
-
https://huggingface.co/LucasFMartins/gemma-3-finetuned-judge-llm-model-advanced/resolve/main/tokenizer.json
- Command line
-
hf download hf://LucasFMartins/gemma-3-finetuned-judge-llm-model-advanced/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/LucasFMartins/gemma-3-finetuned-judge-llm-model-advanced/resolve/main/tokenizer.json
33.4 MB
- Xet hash:
- f0fd8720548c50ea7e49967d7a1d1ee56777d316c119e318ee45f219e8182c0a
- Size of remote file:
- 33.4 MB
- SHA256:
- d786405177734910d7a3db625c2826640964a0b4e5cdbbd70620ae3313a01bef
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