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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "additional_special_tokens": null, | |
| "eos_token": "</s>", | |
| "extra_ids": 0, | |
| "name_or_path": "/content/drive/MyDrive/t5/Tokens/", | |
| "pad_token": "<pad>", | |
| "sp_model_kwargs": {}, | |
| "special_tokens_map_file": "/root/.cache/huggingface/transformers/3b52be683fa2fd36463d04d51871966137133d8c4fc7663ff2a20cb4f3549c18.b02fba13e4584f40329b20be0bad88c2ef97b5fda7d9f4f69b1cb3a620568a86", | |
| "tokenizer_class": "T5Tokenizer", | |
| "unk_token": "<unk>" | |
| } | |