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:
- b5c69a11f035a80e1725bb8fa72a9a7dcb14cc93ac59df918ff59f6cf72c9e07
- Size of remote file:
- 1.93 GB
- SHA256:
- 31da532c5ba4276ca3977556c649de6b88c9fbd6e38eb0ba2f09ad5058bfbe5e
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