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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ibrahimsharaf/AraT5_stage3") model = AutoModelForSeq2SeqLM.from_pretrained("ibrahimsharaf/AraT5_stage3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from ibrahimsharaf/AraT5_stage3: direct link, hf CLI and curl.
- Browser
- Download file 2.94 GB
-
https://huggingface.co/ibrahimsharaf/AraT5_stage3/resolve/main/optimizer.pt
- Command line
-
hf download hf://ibrahimsharaf/AraT5_stage3/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/ibrahimsharaf/AraT5_stage3/resolve/main/optimizer.pt
2.94 GB
- Xet hash:
- b87d370650d8326eb81b83e07548254c94b77d502ced03c85d5f773270591c31
- Size of remote file:
- 2.94 GB
- SHA256:
- 312720c809656873588a45622b2673513f1d0da7ffa9749fb96d50200bc2c508
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