Instructions to use chrisvinsen/xlsr-wav2vec2-final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chrisvinsen/xlsr-wav2vec2-final with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="chrisvinsen/xlsr-wav2vec2-final")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("chrisvinsen/xlsr-wav2vec2-final") model = AutoModelForCTC.from_pretrained("chrisvinsen/xlsr-wav2vec2-final", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
CommonVoice Dataset 8.0 --> Train + Others
WER : 0.216
WER with LM: 0.147
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