Transformers
Safetensors
Arabic
t5
text2text-generation
saudi
nlp
error-correction
text-generation-inference
Instructions to use NAMAA-Space/SaudiSpell-AraT5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NAMAA-Space/SaudiSpell-AraT5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("NAMAA-Space/SaudiSpell-AraT5") model = AutoModelForSeq2SeqLM.from_pretrained("NAMAA-Space/SaudiSpell-AraT5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a55945d29e1b7a25c80f0a7e335d62e5981be00e50b66abeb3d36d9137d6bea6
- Size of remote file:
- 6.03 kB
- SHA256:
- 9b9cf82d2cc2f89c2b41b8730b205ab569775f34e8afd283bbee0419f0ec4ab9
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