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Aratako
/
gemma-4-E4B-it-audio-encoder

Feature Extraction
Transformers
Safetensors
gemma4
audio
encoder
custom_code
Model card Files Files and versions
xet
Community

Instructions to use Aratako/gemma-4-E4B-it-audio-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Aratako/gemma-4-E4B-it-audio-encoder with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Aratako/gemma-4-E4B-it-audio-encoder", trust_remote_code=True)
    # Load model directly
    from transformers import AutoProcessor, AutoModel
    
    processor = AutoProcessor.from_pretrained("Aratako/gemma-4-E4B-it-audio-encoder", trust_remote_code=True)
    model = AutoModel.from_pretrained("Aratako/gemma-4-E4B-it-audio-encoder", trust_remote_code=True)
  • Notebooks
  • Google Colab
  • Kaggle
gemma-4-E4B-it-audio-encoder
618 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
Aratako's picture
Aratako
Update gemma4_audio_encoder.py
8f87fc0 verified about 2 months ago
  • .gitattributes
    1.52 kB
    initial commit about 2 months ago
  • README.md
    1.58 kB
    Create README.md about 2 months ago
  • config.json
    5.21 kB
    Add files using upload-large-folder tool about 2 months ago
  • gemma4_audio_encoder.py
    1.4 kB
    Update gemma4_audio_encoder.py about 2 months ago
  • model.safetensors
    618 MB
    xet
    Add files using upload-large-folder tool about 2 months ago
  • preprocessor_config.json
    1.69 kB
    Add files using upload-large-folder tool about 2 months ago