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:
- 5b612e3f32d91f0b7754306cd3bd3fb78f0be6acd92bebf563f5883599b58ea9
- Size of remote file:
- 6.17 GB
- SHA256:
- a4a776d0523426a509c452090fefc1963e4b3fe4f2142d23dec4dcb9412c8fd1
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