Instructions to use h9LtLSb/whisper-small-uk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use h9LtLSb/whisper-small-uk with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="h9LtLSb/whisper-small-uk")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("h9LtLSb/whisper-small-uk") model = AutoModelForSpeechSeq2Seq.from_pretrained("h9LtLSb/whisper-small-uk", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6839f4fc7f9614cd014edd6f572e42a518dd82aece39fe9b7f5ab13524e3b8db
- Size of remote file:
- 3.76 kB
- SHA256:
- cee3cab1db3707db386a7892c775e92cb4328d68e742a59b92f35ba84c7d500c
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