Instructions to use ibrahimsharaf/AraT5_stage3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ibrahimsharaf/AraT5_stage3 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ibrahimsharaf/AraT5_stage3") model = AutoModelForSeq2SeqLM.from_pretrained("ibrahimsharaf/AraT5_stage3") - Notebooks
- Google Colab
- Kaggle
Upload training_args.bin with huggingface_hub
Browse files- training_args.bin +3 -0
training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:91a8c887894ecd14653ab2e7c362d3eb806da22c3a87b8d5285e9dacb1eb6af1
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size 5240
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