Automatic Speech Recognition
Transformers
Safetensors
Korean
whisper
korean
disfluency-detection
speech
asr
Eval Results (legacy)
Instructions to use rearleg/SeloWhisper-ko-disfluency with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rearleg/SeloWhisper-ko-disfluency with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="rearleg/SeloWhisper-ko-disfluency")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("rearleg/SeloWhisper-ko-disfluency") model = AutoModelForSpeechSeq2Seq.from_pretrained("rearleg/SeloWhisper-ko-disfluency") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
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