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:
# tag did not correspond to a valid NeMo domain.
- 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
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add: q8_0 GGUF for NeMo-Speech.cpp (#3)
- add: q8_0 GGUF for NeMo-Speech.cpp (6a002fd9cad5e8dfa624d97a7ee0388a7153243d) Co-authored-by: Prabhsimran Singh <prabhsimrans-nv@users.noreply.huggingface.co>f667ed7
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