Instructions to use Mads/xlsr-demo-eng with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mads/xlsr-demo-eng with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Mads/xlsr-demo-eng")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Mads/xlsr-demo-eng") model = AutoModelForCTC.from_pretrained("Mads/xlsr-demo-eng", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ba01493ca73ef60dd848498843c9f27ae0dfe852b53f09fac81b8719a107e49b
- Size of remote file:
- 1.26 GB
- SHA256:
- 71ffed85b886afce678ce0ffb8f4edd732f9746ad9df290eb506248e7b7cfe21
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