Transformers
PyTorch
Arabic
t5
text2text-generation
answer-aware-question-generation
question-generation
QG
Eval Results (legacy)
text-generation-inference
Instructions to use MIIB-NLP/Arabic-question-generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MIIB-NLP/Arabic-question-generation with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("MIIB-NLP/Arabic-question-generation") model = AutoModelForSeq2SeqLM.from_pretrained("MIIB-NLP/Arabic-question-generation") - Notebooks
- Google Colab
- Kaggle
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**Mihoubi Akram Fawzi**: [Linkedin](https://www.linkedin.com/in/mihoubi-akram/) | [Github](https://github.com/mihoubi-akram) | <mihhakram@gmail.com>
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**Ibrir Adel**: [Linkedin]() | [Github]() | <adelibrir2015@gmail.com>
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**Mihoubi Akram Fawzi**: [Linkedin](https://www.linkedin.com/in/mihoubi-akram/) | [Github](https://github.com/mihoubi-akram) | <mihhakram@gmail.com>
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**Ibrir Adel**: [Linkedin](https://www.linkedin.com/in/adel-ibrir/) | [Github]() | <adelibrir2015@gmail.com>
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