Instructions to use gitmbio/whis-small-bn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gitmbio/whis-small-bn with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="gitmbio/whis-small-bn")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("gitmbio/whis-small-bn") model = AutoModelForSpeechSeq2Seq.from_pretrained("gitmbio/whis-small-bn", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7dfbc253126fa9e8e0ac5f6fa9ca6f9c40770c65c8221e047e96c66ae88f2603
- Size of remote file:
- 1.06 kB
- SHA256:
- 7efbf80617c96c78286826ce59d9a12c86da62d7631874b3d6364a8e993ada60
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