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:
- 1e97c2f4bbc5ab895a75b6ca2710a231e96cd7bb83167a2377dc4e75eaf08479
- Size of remote file:
- 5.05 kB
- SHA256:
- 152d1e9770ea3e9899a6c5c40e00cad1f52c4e2ae9aea55ed85a6bf2ed0a638f
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