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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f6bbdb0525926445d9433f0ba9932f6e058cd2234842786425d434e22b42c77
- Size of remote file:
- 2.49 GB
- SHA256:
- 86fb6c8e8c72fb44c88e5eb037c501bdad9057c468ed9349a8015af5bc28560b
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