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BUT-FIT
/
diarizen-wavlm-large-s80-mlc

Voice Activity Detection
Transformers
PyTorch
speaker
speaker-diarization
meeting
wavlm
wespeaker
diarizen
pyannote
pyannote-audio-pipeline
Model card Files Files and versions
xet
Community
2

Instructions to use BUT-FIT/diarizen-wavlm-large-s80-mlc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use BUT-FIT/diarizen-wavlm-large-s80-mlc with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("BUT-FIT/diarizen-wavlm-large-s80-mlc", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
diarizen-wavlm-large-s80-mlc
278 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 10 commits
Jyhan003's picture
Jyhan003
Add minimal config.json for download tracking
f74b69a about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    2.48 kB
    Add pipeline tag, library_name and link to paper (#1) about 1 year ago
  • config.json
    37 Bytes
    Add minimal config.json for download tracking about 1 year ago
  • config.toml
    605 Bytes
    Remove redundant part about 1 year ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    278 MB
    xet
    initial commit about 1 year ago