Instructions to use charsiu/en_w2v2_fc_20ms with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use charsiu/en_w2v2_fc_20ms with Transformers:
# Load model directly from transformers import AutoProcessor, Wav2Vec2ForFrameClassification processor = AutoProcessor.from_pretrained("charsiu/en_w2v2_fc_20ms") model = Wav2Vec2ForFrameClassification.from_pretrained("charsiu/en_w2v2_fc_20ms") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 55416167e1d2850d47017f2d60cb394afcfc1f26be76a48ffb45213fe4c63d75
- Size of remote file:
- 378 MB
- SHA256:
- a1c165520c0210ff3b31ddf420eb3317d771b09a46c4470567a67f0417d2b391
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