Automatic Speech Recognition
Transformers
PyTorch
Safetensors
Korean
wav2vec2
speech
audio
Eval Results (legacy)
Instructions to use kresnik/wav2vec2-large-xlsr-korean with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kresnik/wav2vec2-large-xlsr-korean with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="kresnik/wav2vec2-large-xlsr-korean")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("kresnik/wav2vec2-large-xlsr-korean") model = AutoModelForCTC.from_pretrained("kresnik/wav2vec2-large-xlsr-korean", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K