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MagicLuke
/
ecapa-tdnn-speaker-encoder

Feature Extraction
Transformers
Safetensors
ecapa_tdnn
custom_code
Model card Files Files and versions
xet
Community

Instructions to use MagicLuke/ecapa-tdnn-speaker-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use MagicLuke/ecapa-tdnn-speaker-encoder with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="MagicLuke/ecapa-tdnn-speaker-encoder", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("MagicLuke/ecapa-tdnn-speaker-encoder", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
ecapa-tdnn-speaker-encoder
65 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 10 commits
MagicLuke's picture
MagicLuke
Upload SpeakerEncoder
be29e11 verified 12 months ago
  • .gitattributes
    1.52 kB
    initial commit 12 months ago
  • README.md
    5.17 kB
    Upload HFECAPATDNN 12 months ago
  • config.json
    285 Bytes
    Upload SpeakerEncoder 12 months ago
  • configuration_ecapa_tdnn.py
    206 Bytes
    Upload HFECAPATDNN 12 months ago
  • model.safetensors
    65 MB
    xet
    Upload SpeakerEncoder 12 months ago
  • modeling_ecapa_tdnn.py
    5.2 kB
    Upload SpeakerEncoder 12 months ago