Instructions to use ibrahimsharaf/AraT5_stage2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ibrahimsharaf/AraT5_stage2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ibrahimsharaf/AraT5_stage2") model = AutoModelForSeq2SeqLM.from_pretrained("ibrahimsharaf/AraT5_stage2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload rng_state.pth with huggingface_hub
Browse files- rng_state.pth +3 -0
rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:192c44a30c4d054e54b199bdb1915941a4964a2bf22fcf3c617e3806ab649e5e
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size 14244
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