Instructions to use Benjaminpwh/sst-en_de_11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Benjaminpwh/sst-en_de_11 with Transformers:
# Load model directly from transformers import AutoProcessor, DynamicWav2Vec2ForCTC processor = AutoProcessor.from_pretrained("Benjaminpwh/sst-en_de_11") model = DynamicWav2Vec2ForCTC.from_pretrained("Benjaminpwh/sst-en_de_11", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dda2c0e28c582b322ff39a99447c3b37950419d3ec569529f3c76d73bc334299
- Size of remote file:
- 5.91 kB
- SHA256:
- 4d3f47d4ba853dffccf2cea25ebdcd806b02082106367be933dc0fdcf273f4bb
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