Instructions to use CAMeL-Lab/arabart-qalb15-gec-ged-13 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CAMeL-Lab/arabart-qalb15-gec-ged-13 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("CAMeL-Lab/arabart-qalb15-gec-ged-13") model = AutoModelForSeq2SeqLM.from_pretrained("CAMeL-Lab/arabart-qalb15-gec-ged-13", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from CAMeL-Lab/arabart-qalb15-gec-ged-13: direct link, hf CLI and curl.
- Browser
- Download file 557 MB
-
https://huggingface.co/CAMeL-Lab/arabart-qalb15-gec-ged-13/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://CAMeL-Lab/arabart-qalb15-gec-ged-13/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/CAMeL-Lab/arabart-qalb15-gec-ged-13/resolve/main/pytorch_model.bin
557 MB
- Xet hash:
- d4abd8bae77122203c3197720ac5dc1ff4e2cf5311de937d0ca94cfab9056ce4
- Size of remote file:
- 557 MB
- SHA256:
- ba06a93c432f7dcc2816cbea198ad61dcf1adff82e3cbdd0deb92493c202cbe7
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