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anyreach-ai
/
dualturn-endpointing

Audio Classification
Transformers
ONNX
Safetensors
English
dualturn_endpointing
feature-extraction
turn-taking
endpointing
end-of-turn
voice-activity-detection
voice-agents
conversation
speech
audio
mimi
dualturn
real-time
custom_code
Model card Files Files and versions
xet
Community

Instructions to use anyreach-ai/dualturn-endpointing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use anyreach-ai/dualturn-endpointing with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="anyreach-ai/dualturn-endpointing", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("anyreach-ai/dualturn-endpointing", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
dualturn-endpointing
561 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 98 commits
shangeth-anyreach's picture
shangeth-anyreach
Upload README.md with huggingface_hub
d78eb02 verified 3 months ago
  • src
  • .gitattributes
    1.52 kB
  • README.md
    4.82 kB
  • best.pt
    559 MB
    xet
  • config.json
    646 Bytes
  • configuration_dualturn.py
    2.6 kB
  • endpoint_clf.pkl
    375 kB
    xet
  • endpointing.py
    24.8 kB
  • modeling_dualturn.py
    18.4 kB