Automatic Speech Recognition
Transformers
PyTorch
Abkhaz
wav2vec2
mozilla-foundation/common_voice_7_0
Generated from Trainer
Instructions to use mattchurgin/xls-r-eng with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mattchurgin/xls-r-eng with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mattchurgin/xls-r-eng")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("mattchurgin/xls-r-eng") model = AutoModelForCTC.from_pretrained("mattchurgin/xls-r-eng", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f0772aeea8bb26a71cf0857caaa6f9f324c3f7779f5208fb24745832fbb921d7
- Size of remote file:
- 1.25 MB
- SHA256:
- 612dd692031680aae02deafa36c7fa8dadce27d4b31ce9acb75461c1e48b9ddb
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