Instructions to use tuanio/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tuanio/test with Transformers:
# Load model directly from transformers import AutoProcessor, Wav2VecForLinguisticTonalForCTC processor = AutoProcessor.from_pretrained("tuanio/test") model = Wav2VecForLinguisticTonalForCTC.from_pretrained("tuanio/test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ed5380a66163d21788a360b9525097b001ae4358649d7f335b4fe3876271fe97
- Size of remote file:
- 3.95 kB
- SHA256:
- 99355012d5b75b7ee479c90ffbbbf822f0b622af37fc8bc4f17e6c242fcdc08b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.