Instructions to use techiaith/wav2vec2-base-cy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use techiaith/wav2vec2-base-cy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="techiaith/wav2vec2-base-cy")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("techiaith/wav2vec2-base-cy") model = AutoModelForCTC.from_pretrained("techiaith/wav2vec2-base-cy") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e9fa85b21a02b6e911074a0d2f715bdf802a081ff1f36c618e285d01b7a29c73
- Size of remote file:
- 380 MB
- SHA256:
- f137a448a8db25e9ccda9dc06f741649708642fd0ac8dc1e55fb5364cf40022d
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