Automatic Speech Recognition
Transformers
Safetensors
PyTorch
Korean
whisper
whisper-medium
speech-recognition
korean
korean-asr
Instructions to use TLSJ/whisper-wesol-ko with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TLSJ/whisper-wesol-ko with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="TLSJ/whisper-wesol-ko")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("TLSJ/whisper-wesol-ko") model = AutoModelForSpeechSeq2Seq.from_pretrained("TLSJ/whisper-wesol-ko", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
Rename model to whisper-wesol-ko 8377df0 verified
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Upload whisper-wesol-medium-v3 model and card 6e9012d verified
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initial commit 83e6fe8 verified
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