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:
# pip install -U transformers accelerate # 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 trainer_state.json from CAMeL-Lab/arabart-qalb15-gec-ged-13: direct link, hf CLI and curl.
- Browser
- Download file 3.51 kB
-
https://huggingface.co/CAMeL-Lab/arabart-qalb15-gec-ged-13/resolve/main/trainer_state.json
- Command line
-
hf download hf://CAMeL-Lab/arabart-qalb15-gec-ged-13/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/CAMeL-Lab/arabart-qalb15-gec-ged-13/resolve/main/trainer_state.json
3.51 kB
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