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README.md
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## How to use
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import torch
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from transformers import PreTrainedTokenizerFast
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from transformers import BartForConditionalGeneration
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summary_ids = model.generate(torch.tensor([input_ids]).to(device), num_beams=4, max_length=512, eos_token_id=1)
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print(tokenizer.decode(summary_ids.squeeze().tolist(), skip_special_tokens=True))
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## How to use
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```python
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import torch
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from transformers import PreTrainedTokenizerFast
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from transformers import BartForConditionalGeneration
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summary_ids = model.generate(torch.tensor([input_ids]).to(device), num_beams=4, max_length=512, eos_token_id=1)
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print(tokenizer.decode(summary_ids.squeeze().tolist(), skip_special_tokens=True))
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```
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