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Ivydata
/
wav2vec2-large-speech-diarization-jp

Transformers
PyTorch
Japanese
wav2vec2
audio-frame-classification
speech
speaker-diarization
Model card Files Files and versions
xet
Community
2

Instructions to use Ivydata/wav2vec2-large-speech-diarization-jp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Ivydata/wav2vec2-large-speech-diarization-jp with Transformers:

    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioFrameClassification
    
    processor = AutoProcessor.from_pretrained("Ivydata/wav2vec2-large-speech-diarization-jp")
    model = AutoModelForAudioFrameClassification.from_pretrained("Ivydata/wav2vec2-large-speech-diarization-jp")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2-large-speech-diarization-jp
1.26 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 6 commits
Kosuke-Szk's picture
Kosuke-Szk
Update README.md
adeb5b6 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    2 kB
    Update README.md about 3 years ago
  • config.json
    2.35 kB
    add model about 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage",
    • "collections.OrderedDict"

    What is a pickle import?

    1.26 GB
    xet
    add model about 3 years ago