Instructions to use jihyun/whisper-small-ko with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jihyun/whisper-small-ko with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="jihyun/whisper-small-ko")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("jihyun/whisper-small-ko") model = AutoModelForSpeechSeq2Seq.from_pretrained("jihyun/whisper-small-ko", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f8627d02587ca6c7ac3bcb634fa5c3f098b028f3d119c1574fca34a2fe358eaf
- Size of remote file:
- 4.08 kB
- SHA256:
- e14471ac64e78e63d44b29f428a1c9d59e70563011cecd83ade501b6be7710b8
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