Instructions to use yuka-ko/whisper-large-ja-default with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yuka-ko/whisper-large-ja-default with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="yuka-ko/whisper-large-ja-default")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("yuka-ko/whisper-large-ja-default") model = AutoModelForSpeechSeq2Seq.from_pretrained("yuka-ko/whisper-large-ja-default") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c61f62824655e12fb5f39ecf315e445dacc1b4bf72faede8397de306b7c19f33
- Size of remote file:
- 5.24 kB
- SHA256:
- e971106acb3569cac1fa8b7d59ff3ac922121f0019a6f61e1c507b926ad05771
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