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:
- 3d46649616ced11866c692feaad9d0105e3f2e0bc517989d419787a109c39a50
- Size of remote file:
- 2.86 kB
- SHA256:
- 23d29bd3f888a21db2f4b36895391dbf3ad074043982a91045cb2ba6375e8801
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.