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Sunbird
/
sunbirdtutor-gemma-4-e2b

Audio-Text-to-Text
Transformers
Safetensors
gemma4
image-text-to-text
audio
multimodal
gemma
gemma-4
speech-qa
ugandan-languages
low-resource-languages
sunbird
Model card Files Files and versions
xet
Community

Instructions to use Sunbird/sunbirdtutor-gemma-4-e2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Sunbird/sunbirdtutor-gemma-4-e2b with Transformers:

    # Load model directly
    from transformers import AutoProcessor, AutoModelForMultimodalLM
    
    processor = AutoProcessor.from_pretrained("Sunbird/sunbirdtutor-gemma-4-e2b")
    model = AutoModelForMultimodalLM.from_pretrained("Sunbird/sunbirdtutor-gemma-4-e2b")
  • Notebooks
  • Google Colab
  • Kaggle
sunbirdtutor-gemma-4-e2b
10.2 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 5 commits
akera's picture
akera
Update README.md
ac0bb53 verified about 2 months ago
  • .gitattributes
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  • README.md
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  • chat_template.jinja
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  • config.json
    5.11 kB
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  • generation_config.json
    210 Bytes
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  • model.safetensors
    10.2 GB
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  • rng_state.pth
    14.6 kB
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  • scheduler.pt

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    1.47 kB
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  • tokenizer.json
    32.2 MB
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  • tokenizer_config.json
    7 kB
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  • trainer_state.json
    15.6 kB
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  • training_args.bin
    5.91 kB
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