Instructions to use speech31/XLS-R-tamil-phoneme with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use speech31/XLS-R-tamil-phoneme with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="speech31/XLS-R-tamil-phoneme")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("speech31/XLS-R-tamil-phoneme") model = AutoModelForCTC.from_pretrained("speech31/XLS-R-tamil-phoneme") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 69038e73eeabeee9ad66d2d7d7d2e265067e8b070f3c0a144481d462545d6fe7
- Size of remote file:
- 2.86 kB
- SHA256:
- b9acdc5429d12bbbe88d35bb75f0f9bcaaeee33f5ba29005a6b771b144dda45e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.