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
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
- Xet hash:
- b2f190091d7b627d4f8a44edb4e7633216b187f575e40a84c1896f8d5085321e
- Size of remote file:
- 375 kB
- SHA256:
- 65be112794a0a37c9b550c3d861c41f9337d98ec45e4e925177fce08a978264b
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