Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
Korean
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use byoussef/whisper-large-v2-Ko with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use byoussef/whisper-large-v2-Ko with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="byoussef/whisper-large-v2-Ko")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("byoussef/whisper-large-v2-Ko") model = AutoModelForSpeechSeq2Seq.from_pretrained("byoussef/whisper-large-v2-Ko", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e2a8c36ff37d4bfcce566a54d44ad27e3503af9b5c333a5b898912edfdfe9be7
- Size of remote file:
- 3.7 kB
- SHA256:
- 6370c9bd72ca7d02215d3b690a80d06edb2b90d8f1d5656d1262b070e8a7b2fb
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