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
| { | |
| "epoch": 50.0, | |
| "eval_loss": 0.05855414643883705, | |
| "eval_runtime": 44.2001, | |
| "eval_samples": 456, | |
| "eval_samples_per_second": 10.317, | |
| "eval_steps_per_second": 0.113, | |
| "eval_wer": 0.027031108426457263 | |
| } |