Instructions to use Mads/xlsr-demo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mads/xlsr-demo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Mads/xlsr-demo")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Mads/xlsr-demo") model = AutoModelForCTC.from_pretrained("Mads/xlsr-demo") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f5c5c8a876dac3201867a367c44dbefec32cfd590934d020ab428f36ffaef28b
- Size of remote file:
- 1.26 GB
- SHA256:
- 7fd647765dafac2742798b6f249f024ede7c75bb3a8bbe7fbb4b991156ea669b
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