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
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Download privacy.md from nvidia/Nemotron-3-Diarization: direct link, hf CLI and curl.
- Browser
- Download file 1.28 kB
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https://huggingface.co/nvidia/Nemotron-3-Diarization/resolve/main/privacy.md
- Command line
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hf download hf://nvidia/Nemotron-3-Diarization/privacy.md
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curl -L -o privacy.md https://huggingface.co/nvidia/Nemotron-3-Diarization/resolve/main/privacy.md
1.28 kB
| Field | Response |
|---|---|
| Generatable or reverse-engineerable personal data? | No |
| Personal data used to create this model? | Yes |
| Personal data categories present | Voice recordings |
| Was consent obtained for any personal data used? | Yes |
| How often is the dataset reviewed? | Before Release |
| Is a mechanism in place to honor data subject right of access or deletion of personal data? | Yes |
| If personal data was collected for the development of the model, was it collected directly by NVIDIA? | No |
| If personal data was collected for the development of the model by NVIDIA, do you maintain or have access to disclosures made to data subjects? | Not Applicable |
| If personal data was collected for the development of this AI model, was it minimized to only what was required? | Yes |
| Was data from user interactions with the AI model (e.g. user input and prompts) used to train the model? | No |
| Is there provenance for all datasets used in training? | Yes |
| Does data labeling (annotation, metadata) comply with privacy laws? | Yes |
| Is data compliant with data subject requests for data correction or removal, if such a request was made? | No, not possible with externally-sourced data |
| Applicable Privacy Policy | NVIDIA Privacy Policy |