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:
- fbe73894a02f11402f87359db13e182e8bedc487748ba047c9480ea27ee649a1
- Size of remote file:
- 683 MB
- SHA256:
- 40ae3b9cdc513670685eec797168a80a78dd9808ea5a10e25177e03213cf063e
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