Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
Korean
wav2vec2
Generated from Trainer
hf-asr-leaderboard
robust-speech-event
Eval Results (legacy)
Instructions to use w11wo/wav2vec2-xls-r-300m-korean-lm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use w11wo/wav2vec2-xls-r-300m-korean-lm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="w11wo/wav2vec2-xls-r-300m-korean-lm")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("w11wo/wav2vec2-xls-r-300m-korean-lm") model = AutoModelForCTC.from_pretrained("w11wo/wav2vec2-xls-r-300m-korean-lm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| WER: 0.3094413491943984 | |
| CER: 0.07965609296482412 |