Voice Activity Detection
Transformers
Safetensors
nemotron3_diarization
audio-frame-classification
speaker-diarization
streaming-sortformer
nemotron
medical
Instructions to use Aduomas/nemotron-3-diarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aduomas/nemotron-3-diarization with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioFrameClassification processor = AutoProcessor.from_pretrained("Aduomas/nemotron-3-diarization") model = AutoModelForAudioFrameClassification.from_pretrained("Aduomas/nemotron-3-diarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download decoder_config.json from Aduomas/nemotron-3-diarization: direct link, hf CLI and curl.
- Browser
- Download file 67 Bytes
-
https://huggingface.co/Aduomas/nemotron-3-diarization/resolve/main/decoder_config.json
- Command line
-
hf download hf://Aduomas/nemotron-3-diarization/decoder_config.json
-
curl -L -o decoder_config.json https://huggingface.co/Aduomas/nemotron-3-diarization/resolve/main/decoder_config.json
67 Bytes
| { | |
| "threshold": 0.5, | |
| "bridge_s": 0.4, | |
| "bridge_clear_s": 0.5 | |
| } | |