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:
- 681b27927e70250b9607865ba1fa550a42b812a1e3772aca4ca56acbc5e8c4ed
- Size of remote file:
- 1.93 GB
- SHA256:
- 330d44206f0638443be3be42b022d554f7b6739192c5233f4ee04e3dc7b05129
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