Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Korean
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use TheoJo/whisper-tiny-ko with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheoJo/whisper-tiny-ko with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="TheoJo/whisper-tiny-ko")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("TheoJo/whisper-tiny-ko") model = AutoModelForSpeechSeq2Seq.from_pretrained("TheoJo/whisper-tiny-ko") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9b50ea7fd596d9e79bc4de8a62f48aaf53333bcecacf57f516a0a97e4c613f2a
- Size of remote file:
- 3.71 kB
- SHA256:
- 9ab5eef5f57e3cb6294d0a7d0dbe33824547b7d8fd971a039d802495c0e84da0
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