Instructions to use obadx/muaalem-model-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use obadx/muaalem-model-v3 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import Wav2Vec2BertForMultilevelCTC model = Wav2Vec2BertForMultilevelCTC.from_pretrained("obadx/muaalem-model-v3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from obadx/muaalem-model-v3: direct link, hf CLI and curl.
- Browser
- Download file 5.78 kB
-
https://huggingface.co/obadx/muaalem-model-v3/resolve/main/training_args.bin
- Command line
-
hf download hf://obadx/muaalem-model-v3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/obadx/muaalem-model-v3/resolve/main/training_args.bin
5.78 kB
- Xet hash:
- ebf118416ca4733f2dd5e6b76a67528208326c349b23ce519d46eaaf774fdf34
- Size of remote file:
- 5.78 kB
- SHA256:
- fcf07f06d1a3dbdb4e6101c2adc03096f62e21c664f6151eb83c633c20af4a99
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