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:
- 83461470df8a684ac70ab08412ae4fff2a471c945914f3d1db01238d4fb5d1a6
- Size of remote file:
- 1.26 GB
- SHA256:
- d8e13478625d4c166ee6eec41a5c132ec9de11427d76d89f03349838e0846276
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.