Voice Activity Detection
Transformers
Safetensors
nemotron3_diarization
audio-frame-classification
speaker-diarization
streaming-sortformer
nemotron
medical
Instructions to use Aduomas/nemotron-3-diarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aduomas/nemotron-3-diarization with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioFrameClassification processor = AutoProcessor.from_pretrained("Aduomas/nemotron-3-diarization") model = AutoModelForAudioFrameClassification.from_pretrained("Aduomas/nemotron-3-diarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download NOTICE from Aduomas/nemotron-3-diarization: direct link, hf CLI and curl.
- Browser
- Download file 348 Bytes
-
https://huggingface.co/Aduomas/nemotron-3-diarization/resolve/main/NOTICE
- Command line
-
hf download hf://Aduomas/nemotron-3-diarization/NOTICE
-
curl -L -o NOTICE https://huggingface.co/Aduomas/nemotron-3-diarization/resolve/main/NOTICE
348 Bytes
| This repository redistributes the model weights, config.json and processor_config.json of | |
| nvidia/Nemotron-3-Diarization (revision a435e9867d79e789e90053f9b6d6834053af564a) by NVIDIA, | |
| under the OpenMDW License Agreement, version 1.1 (see LICENSE). The weights are unmodified. | |
| decoder.py, decoder_config.json and diarize.py are additions by Adomas. | |