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:
# pip install -U transformers accelerate # 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
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README.md
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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# 1. Load Model
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model_name = "
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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# 1. Load Model
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model_name = "NAMAA-Space/SaudiSpell-AraT5"
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
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