Instructions to use mazesmazes/tiny-audio-swift-bundle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mazesmazes/tiny-audio-swift-bundle with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mazesmazes/tiny-audio-swift-bundle")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mazesmazes/tiny-audio-swift-bundle", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 13c0836df2f166aeaa8d6000039a13db0312d73c347a1558f393e1ab5f1a6db0
- Size of remote file:
- 671 MB
- SHA256:
- e0af2959045dad826ab3dda66dbece3440d049f6115d6022336b0b52b9afbac8
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