Instructions to use Benjaminpwh/sst-en_de_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Benjaminpwh/sst-en_de_4 with Transformers:
# Load model directly from transformers import AutoProcessor, DynamicWav2Vec2ForCTC processor = AutoProcessor.from_pretrained("Benjaminpwh/sst-en_de_4") model = DynamicWav2Vec2ForCTC.from_pretrained("Benjaminpwh/sst-en_de_4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 24974673f466b079cc9ab866ff0e67372bae317b7912244ccf6f7eea8372f9a7
- Size of remote file:
- 11.4 MB
- SHA256:
- 3eeb0508b611206e919ae669b5ef99f3cded4d6199c95b202d85a38abb75ee9d
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