Instructions to use jmaczan/wav2vec2-large-xls-r-300m-dysarthria with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jmaczan/wav2vec2-large-xls-r-300m-dysarthria with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="jmaczan/wav2vec2-large-xls-r-300m-dysarthria")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("jmaczan/wav2vec2-large-xls-r-300m-dysarthria") model = AutoModelForCTC.from_pretrained("jmaczan/wav2vec2-large-xls-r-300m-dysarthria", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d1cc15d294063fc02c474bf979fb32335cc901647bf8481c6c3bf0b5a3d72912
- Size of remote file:
- 4.6 kB
- SHA256:
- f7001c7b128c93f351c434c4029377905ddc0971ed3171c68b9cf10e2e73cd37
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