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 spiece.model from bakrianoo/t5-arabic-base: direct link, hf CLI and curl.
- Browser
- Download file 847 kB
-
https://huggingface.co/bakrianoo/t5-arabic-base/resolve/main/spiece.model
- Command line
-
hf download hf://bakrianoo/t5-arabic-base/spiece.model
-
curl -L -o spiece.model https://huggingface.co/bakrianoo/t5-arabic-base/resolve/main/spiece.model
847 kB
- Xet hash:
- 31e7f8ab6928bdcb40aa290ba6d95e487eef8b7821db0efd2d440a3debce8a16
- Size of remote file:
- 847 kB
- SHA256:
- 0b1638b19c09773fb382835ebed2a612ba15aceff181dd79703365aad4ae6821
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