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gpt2_question_generation_given_paragraph_answer
danyaljj/gpt2_question_generation_given_paragraph_answer
gpt2_question_generation_given_paragraph_answer is a text generation model from danyaljj. Use it when you need the model to write or continue text. It is set up for transformers.
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At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- gpt2
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Jun 17, 2021
- SHA
- ee45d524
Try a prompt
Model card
From the Hugging Face model README
Sample usage:
tokenizer = GPT2Tokenizer.from_pretrained("gpt2")
model = GPT2LMHeadModel.from_pretrained("danyaljj/gpt2_question_generation_given_paragraph_answer")
input_ids = tokenizer.encode("There are two apples on the counter. A: apples Q:", return_tensors="pt")
outputs = model.generate(input_ids)
print("Generated:", tokenizer.decode(outputs[0], skip_special_tokens=True))
Which should produce this:
Generated: There are two apples on the counter. A: apples Q: What is the name of the counter
- Task
- Text Generation
- Library
- transformers
- Type
- gpt2
- Created
- Mar 2, 2022
- Updated
- Jun 17, 2021