Voice Activity Detection
NeMo
Safetensors
GGUF
Transformers
nemotron3_diarization
audio-frame-classification
speaker-diarization
streaming-sortformer
speaker-tagging
Instructions to use ldov/Nemotron-3-Diarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use ldov/Nemotron-3-Diarization with NeMo:
# tag did not correspond to a valid NeMo domain.
- Transformers
How to use ldov/Nemotron-3-Diarization with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioFrameClassification processor = AutoProcessor.from_pretrained("ldov/Nemotron-3-Diarization") model = AutoModelForAudioFrameClassification.from_pretrained("ldov/Nemotron-3-Diarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download streaming_diarization_demo.png from ldov/Nemotron-3-Diarization: direct link, hf CLI and curl.
- Browser
- Download file 78.3 kB
-
https://huggingface.co/ldov/Nemotron-3-Diarization/resolve/main/streaming_diarization_demo.png
- Command line
-
hf download hf://ldov/Nemotron-3-Diarization/streaming_diarization_demo.png
-
curl -L -o streaming_diarization_demo.png https://huggingface.co/ldov/Nemotron-3-Diarization/resolve/main/streaming_diarization_demo.png
78.3 kB

- Xet hash:
- 1479c81856e575228f120044a4322b4e6dca7dcb78ce681ba1b1c8e35a865c9c
- Size of remote file:
- 78.3 kB
- SHA256:
- 05dd18ddd1068dbfff5195f3a9bd8d8acb2c3002498fe35a9ebad96a45afbe8f
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