Instructions to use Ivydata/wav2vec2-large-speech-diarization-jp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ivydata/wav2vec2-large-speech-diarization-jp with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioFrameClassification processor = AutoProcessor.from_pretrained("Ivydata/wav2vec2-large-speech-diarization-jp") model = AutoModelForAudioFrameClassification.from_pretrained("Ivydata/wav2vec2-large-speech-diarization-jp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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