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johnmccabe
/
gemma-3-trained

Transformers
Safetensors
English
text-generation-inference
unsloth
gemma3_text
trl
Model card Files Files and versions
xet
Community

Instructions to use johnmccabe/gemma-3-trained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use johnmccabe/gemma-3-trained with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("johnmccabe/gemma-3-trained", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Unsloth Desktop
gemma-3-trained
65.4 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
johnmccabe's picture
johnmccabe
Upload model trained with Unsloth
bb7fde4 verified over 1 year ago
  • .gitattributes
    1.57 kB
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  • README.md
    577 Bytes
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  • adapter_config.json
    1.05 kB
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  • adapter_model.safetensors
    26.1 MB
    xet
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  • added_tokens.json
    35 Bytes
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  • special_tokens_map.json
    670 Bytes
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  • tokenizer.json
    33.4 MB
    xet
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  • tokenizer.model
    4.69 MB
    xet
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  • tokenizer_config.json
    1.16 MB
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