Instructions to use jangmin/whisper-medium-ko-normalized-1273h with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jangmin/whisper-medium-ko-normalized-1273h with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="jangmin/whisper-medium-ko-normalized-1273h")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("jangmin/whisper-medium-ko-normalized-1273h") model = AutoModelForSpeechSeq2Seq.from_pretrained("jangmin/whisper-medium-ko-normalized-1273h", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2eb5343d78ab90275626067f71ecc8d1e8315cb2428934788911d8ae30d97a3c
- Size of remote file:
- 3.06 GB
- SHA256:
- b3b4805f3b36d5d4addebb0a95d8e7bd2556e30e4101757b18ef74210bbbd9ad
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