Instructions to use speech31/XLS-R-300m-tamil-ipa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use speech31/XLS-R-300m-tamil-ipa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="speech31/XLS-R-300m-tamil-ipa")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("speech31/XLS-R-300m-tamil-ipa") model = AutoModelForCTC.from_pretrained("speech31/XLS-R-300m-tamil-ipa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- df977c008bf3b45fa014582fb01ce2298095ed2f89d97ed57df311bf82f6f726
- Size of remote file:
- 1.26 GB
- SHA256:
- d9fffa4618c81a76a00f8398728b08f87d1a1ed13e9dd91b23ed79d51430b795
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