Voice Activity Detection
NeMo
Safetensors
GGUF
Transformers
nemotron3_diarization
audio-frame-classification
speaker-diarization
streaming-sortformer
speaker-tagging
Instructions to use nvidia/Nemotron-3-Diarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use nvidia/Nemotron-3-Diarization with NeMo:
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- Transformers
How to use nvidia/Nemotron-3-Diarization with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioFrameClassification processor = AutoProcessor.from_pretrained("nvidia/Nemotron-3-Diarization") model = AutoModelForAudioFrameClassification.from_pretrained("nvidia/Nemotron-3-Diarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
26 days ago
-
Add Transformers weights, config and usage section (#1)
- Add Transformers weights, config and usage section (426f871cbef6df4e20ca0545f4259ab29d482209) - Rebase the README on main: only add the Transformers usage section (febb9d857e67889784e1d2a0d9dc38b5dd503ce6) - Use a superscript footnote marker for the streaming latency (c3245314b2287763c97e811b943df640b42ed702) Co-authored-by: Eustache Le Bihan <eustlb@users.noreply.huggingface.co>0f08703