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aadel4
/
omniASR-W2V-1B

Feature Extraction
Transformers
Safetensors
wav2vec2
speech
audio
Model card Files Files and versions
xet
Community

Instructions to use aadel4/omniASR-W2V-1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use aadel4/omniASR-W2V-1B with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="aadel4/omniASR-W2V-1B")
    # Load model directly
    from transformers import AutoProcessor, AutoModel
    
    processor = AutoProcessor.from_pretrained("aadel4/omniASR-W2V-1B")
    model = AutoModel.from_pretrained("aadel4/omniASR-W2V-1B")
  • Notebooks
  • Google Colab
  • Kaggle
omniASR-W2V-1B
3.85 GB
Ctrl+K
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  • 1 contributor
History: 4 commits
aadel4's picture
aadel4
Update README.md
dad3de9 verified 2 months ago
  • .gitattributes
    1.52 kB
    initial commit 2 months ago
  • README.md
    1.91 kB
    Update README.md 2 months ago
  • config.json
    1.96 kB
    Upload omniASR-W2V-1B converted from fairseq2 2 months ago
  • model.safetensors
    3.85 GB
    xet
    Upload omniASR-W2V-1B converted from fairseq2 2 months ago
  • preprocessor_config.json
    187 Bytes
    Upload omniASR-W2V-1B converted from fairseq2 2 months ago