Instructions to use obadx/muaalem-model-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use obadx/muaalem-model-v0 with Transformers:
# Load model directly from transformers import Wav2Vec2BertForMultilevelCTC model = Wav2Vec2BertForMultilevelCTC.from_pretrained("obadx/muaalem-model-v0", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 50810db63e57ec2c4baa18ab5d15b9552b478e5a3cda53fb68357994b10763ab
- Size of remote file:
- 5.78 kB
- SHA256:
- 5c1d705375c3dda1b442fc2d267bd815a8502d076309fdd57fea8f9694794523
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.