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README.md
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example_title: Example 3
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# Generate Title using Keywords
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example_title: Example 3
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---
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# Generate Title using Keywords
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## How to use
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```python
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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device = "cuda"
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tokenizer = AutoTokenizer.from_pretrained("Ateeqq/keywords-title-generator", token='your_token')
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model = AutoModelForSeq2SeqLM.from_pretrained("Ateeqq/keywords-title-generator", token='your_token').to(device)
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def generate_title(question):
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input_ids = tokenizer(f'generate title: {question}', return_tensors="pt", padding="longest", truncation=True, max_length=24).input_ids.to(device)
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outputs = model.generate(
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input_ids,
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num_beams=5,
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num_beam_groups=5,
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num_return_sequences=5,
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repetition_penalty=10.0,
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diversity_penalty=3.0,
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no_repeat_ngram_size=2,
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temperature=0.7,
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max_length=24
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)
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return tokenizer.batch_decode(outputs, skip_special_tokens=True)
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text = 'book, history, kids'
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generate_title(text)
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```
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### Output:
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```
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['How to Write a Book About History for Kids',
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'The book that taught me how to write history for kids',
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'Why I wrote this book about history for kids',
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'A Book About History That Will Help Your Kids Understand',
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'This is a Book About History that I recommend to my kids']
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```
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