Instructions to use gitmbio/whisper-small-bn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gitmbio/whisper-small-bn with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="gitmbio/whisper-small-bn")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("gitmbio/whisper-small-bn") model = AutoModelForSpeechSeq2Seq.from_pretrained("gitmbio/whisper-small-bn", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6ddf5fa7d94bbd7e72e76280f443b355adf57938a2e717ac6f487141c6bdcf8f
- Size of remote file:
- 5.24 kB
- SHA256:
- 00cbd7c324972883ffc0e5d674503bc57f94a95800d493a8ec28aa7940989a8b
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