Instructions to use SungBeom/whisper-small-ko with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SungBeom/whisper-small-ko with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="SungBeom/whisper-small-ko")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("SungBeom/whisper-small-ko") model = AutoModelForSpeechSeq2Seq.from_pretrained("SungBeom/whisper-small-ko") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5b4e27ad7404dd4ddaa43cb0f5164145e582a2a65efcc7ec507ccad89c99be19
- Size of remote file:
- 4.09 kB
- SHA256:
- 6f98a68481c8ae590cb14e9d9b80983f4fbf825f4f7407aaf0c8d1d777088d4f
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