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laion
/
whisper-captioning-ensemble

Audio Classification
Transformers
English
audio
audio-captioning
audio-tagging
audioset
whisper
speech-captioning
music-captioning
sound-effect-captioning
laion
ast
audio-spectrogram-transformer
Model card Files Files and versions
xet
Community

Instructions to use laion/whisper-captioning-ensemble with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use laion/whisper-captioning-ensemble with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="laion/whisper-captioning-ensemble")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("laion/whisper-captioning-ensemble", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-captioning-ensemble
8.93 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 26 commits
ChristophSchuhmann's picture
ChristophSchuhmann
Refresh sfx sample sidecars
72496bf verified about 1 month ago
  • samples
    Refresh sfx sample sidecars about 1 month ago
  • scripts
    Update scripts/render_results.py about 1 month ago
  • .gitattributes
    3.44 kB
    Upload folder using huggingface_hub about 1 month ago
  • README.md
    51.3 kB
    Re-caption sfx samples with updated sound-effect-captioning-whisper about 1 month ago
  • download_models.py
    3.49 kB
    Upload download_models.py with huggingface_hub about 1 month ago
  • pipeline.py
    20.6 kB
    Update pipeline.py about 1 month ago
  • requirements.txt
    401 Bytes
    Upload requirements.txt with huggingface_hub about 1 month ago
  • router.py
    8.52 kB
    Update router.py about 1 month ago