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:
- 80a94513c53169a765312b18118b2e261320e96426f26d79d5ac140ed29bcc0e
- Size of remote file:
- 3.77 kB
- SHA256:
- 1e4ebd7db27b4b10b645b0710064ae069d9dfa7caee40828967e6a896c7c4a9d
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