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 Nemotron-3-Diarization.q8_0.gguf from ldov/Nemotron-3-Diarization: direct link, hf CLI and curl.
- Browser
- Download file 107 MB
-
https://huggingface.co/ldov/Nemotron-3-Diarization/resolve/main/Nemotron-3-Diarization.q8_0.gguf
- Command line
-
hf download hf://ldov/Nemotron-3-Diarization/Nemotron-3-Diarization.q8_0.gguf
-
curl -L -o Nemotron-3-Diarization.q8_0.gguf https://huggingface.co/ldov/Nemotron-3-Diarization/resolve/main/Nemotron-3-Diarization.q8_0.gguf
107 MB
- Xet hash:
- 0bede27d43502a641f19972f7b6d4496b63124e231f6e672425c845a94651da8
- Size of remote file:
- 107 MB
- SHA256:
- 08456d9e22cd9a323c0364d98375f3746d6e68507ebb705cd46438c534c7a3a1
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