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:
- ae618b634671cc9b995e8342926a39200ed98b50d4dc6c620dd94c50fd4dcbbd
- Size of remote file:
- 1.93 GB
- SHA256:
- 2ea8eb5f9acf4f75733de6bd252be226c7ba3c2ece3f4bd84d340407cbe2ecb6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.