Transformers
Safetensors
Arabic
t5
text2text-generation
AraT5
Arabic
Distractor-Generation
text-generation-inference
Instructions to use Nouran30/distractor-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nouran30/distractor-model with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Nouran30/distractor-model") model = AutoModelForSeq2SeqLM.from_pretrained("Nouran30/distractor-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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license: mit
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license: mit
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language:
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- ar
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base_model:
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- UBC-NLP/AraT5v2-base-1024
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library_name: transformers
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tags:
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- transformers
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- AraT5
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- Arabic
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- Distractor-Generation
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