Instructions to use jcmc/wav2vec2-xls-r-300m-jp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jcmc/wav2vec2-xls-r-300m-jp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="jcmc/wav2vec2-xls-r-300m-jp")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("jcmc/wav2vec2-xls-r-300m-jp") model = AutoModelForCTC.from_pretrained("jcmc/wav2vec2-xls-r-300m-jp") - Notebooks
- Google Colab
- Kaggle
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