Create README.md

README.md

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+---
+language: en
+tags:
+- t5
+datasets:
+- squad
+license: mit
+---
+
+# Question Generation Model
+
+## Fine-tuning Dataset
+
+SQuAD 1.1
+
+## Demo
+
+https://huggingface.co/Sehong/t5-large-QuestionGeneration
+
+## How to use
+
+```python
+import torch
+from transformers import PreTrainedTokenizerFast
+from transformers import T5ForConditionalGeneration
+
+tokenizer = PreTrainedTokenizerFast.from_pretrained('Sehong/t5-large-QuestionGeneration')
+model = T5ForConditionalGeneration.from_pretrained('Sehong/t5-large')
+
+text = "Saint Bern ##ade ##tte So ##ubi ##rous [SEP] Architectural ##ly , the school has a Catholic character . At ##op the Main Building ' s gold dome is a golden statue of the Virgin Mary . Immediately in front of the Main Building and facing it , is a copper statue of Christ with arms up ##rai ##sed with the legend "" V ##eni ##te Ad Me O ##m ##nes "" . Next to the Main Building is the Basilica of the Sacred Heart . Immediately behind the b ##asi ##lica is the G ##rot ##to , a Marian place of prayer and reflection . It is a replica of the g ##rot ##to at Lou ##rdes , France where the Virgin Mary reputed ##ly appeared to Saint Bern ##ade ##tte So ##ubi ##rous in 1858 . At the end of the main drive ( and in a direct line that connects through 3 statues and the Gold Dome ) , is a simple , modern stone statue of Mary ."
+
+raw_input_ids = tokenizer.encode(text)
+input_ids = [tokenizer.bos_token_id] + raw_input_ids + [tokenizer.eos_token_id]
+
+summary_ids = model.generate(torch.tensor([input_ids]))
+
+decode = tokenizer.decode(summary_ids.squeeze().tolist(), skip_special_tokens=True)
+
+decode = decode.replace(' # # ', '').replace('  ', ' ').replace(' ##', '')
+
+print(decode)
+```