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
Upload bias.md with huggingface_hub
Browse files
bias.md
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Participation considerations from adversely impacted groups [protected classes](https://www.senate.ca.gov/content/protected-classes) in model design and testing: | None
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Measures taken to mitigate against unwanted bias: | None
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Bias Metric (If Measured): | Not Applicable
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