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principled-intelligence
/
gemma-4-E2B-it-text-only

Feature Extraction
Transformers
Safetensors
gemma4_text
Model card Files Files and versions
xet
Community
1

Instructions to use principled-intelligence/gemma-4-E2B-it-text-only with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use principled-intelligence/gemma-4-E2B-it-text-only with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="principled-intelligence/gemma-4-E2B-it-text-only")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("principled-intelligence/gemma-4-E2B-it-text-only")
    model = AutoModel.from_pretrained("principled-intelligence/gemma-4-E2B-it-text-only")
  • Notebooks
  • Google Colab
  • Kaggle
gemma-4-E2B-it-text-only
9.33 GB
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  • 1 contributor
History: 7 commits
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edobobo
Update README.md
9023a24 verified 3 months ago
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  • README.md
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  • chat_template.jinja
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  • config.json
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  • model.safetensors
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  • tokenizer.json
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  • tokenizer_config.json
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