Instructions to use charsiu/en_w2v2_fc_10ms with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use charsiu/en_w2v2_fc_10ms with Transformers:
# Load model directly from transformers import AutoProcessor, Wav2Vec2ForFrameClassification processor = AutoProcessor.from_pretrained("charsiu/en_w2v2_fc_10ms") model = Wav2Vec2ForFrameClassification.from_pretrained("charsiu/en_w2v2_fc_10ms") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8beb2f9a43e3cb89a62c5beac6d7e73097d0239da57afaf5a47cd4d542f1477a
- Size of remote file:
- 378 MB
- SHA256:
- 6dc8a18422db7c22e951d5f72dc2afc267b942eb0b8459ac6dcc0cf412536de1
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