Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
wav2vec2
speech-recognition
korean-phoneme-recognition
Instructions to use slplab/wav2vec2-XLSR-300m_KoreanPhonene_spoken_by_foreigners with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use slplab/wav2vec2-XLSR-300m_KoreanPhonene_spoken_by_foreigners with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="slplab/wav2vec2-XLSR-300m_KoreanPhonene_spoken_by_foreigners")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("slplab/wav2vec2-XLSR-300m_KoreanPhonene_spoken_by_foreigners") model = AutoModelForCTC.from_pretrained("slplab/wav2vec2-XLSR-300m_KoreanPhonene_spoken_by_foreigners", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K