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
Commit History
-
Upload training_args.bin with huggingface_hub
Verified signature2ff4c62 -
Upload generation_config.json with huggingface_hub
Verified signature08e4af7 -
Upload optimizer.pt with huggingface_hub
Verified signature855b686 -
Upload config.json with huggingface_hub
Verified signaturead78dea -
Upload trainer_state.json with huggingface_hub
Verified signature12bf898 -
Upload scheduler.pt with huggingface_hub
Verified signature081a9dd -
Upload rng_state.pth with huggingface_hub
Verified signatured1c1896 -
Upload model.safetensors with huggingface_hub
Verified signature345205f -
Upload tokenizer.json with huggingface_hub
Verified signaturec444098 -
Upload tokenizer_config.json with huggingface_hub
Verified signature8232898 -
Upload special_tokens_map.json with huggingface_hub
Verified signature5a7ab72 -
initial commit
Verified signature273a0bd