Instructions to use byoussef/whisper-small-kr-colab with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use byoussef/whisper-small-kr-colab with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="byoussef/whisper-small-kr-colab")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("byoussef/whisper-small-kr-colab") model = AutoModelForSpeechSeq2Seq.from_pretrained("byoussef/whisper-small-kr-colab") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1b61e5608ca492cc0456b21a5af8acfcee1074edc2432a46e9701e3418d6c895
- Size of remote file:
- 3.71 kB
- SHA256:
- 472804f9e1b9de48d5a1588c264bb47d969eb911f78d25dcef3fd1056dfa41ab
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