Instructions to use bakrianoo/t5-arabic-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bakrianoo/t5-arabic-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("bakrianoo/t5-arabic-base") model = AutoModelForSeq2SeqLM.from_pretrained("bakrianoo/t5-arabic-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from bakrianoo/t5-arabic-base: direct link, hf CLI and curl.
- Browser
- Download file 1.01 GB
-
https://huggingface.co/bakrianoo/t5-arabic-base/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://bakrianoo/t5-arabic-base/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/bakrianoo/t5-arabic-base/resolve/main/pytorch_model.bin
1.01 GB
- Xet hash:
- 86c5ea3726eeb361a2e2354beeb1193039b2557d95c0c2896d04435c13a60844
- Size of remote file:
- 1.01 GB
- SHA256:
- 344ba7fd68e376e592efcea6deb8b3d97ea1f040723d2b29f8198a370beb8aa5
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