BlackKakapo
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README.md
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---
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---
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---
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annotations_creators: []
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language:
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- ro
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language_creators:
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- machine-generated
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license:
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- apache-2.0
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multilinguality:
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- monolingual
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pretty_name: BlackKakapo/t5-base-paraphrase-ro
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size_categories:
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- 10K<n<100K
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source_datasets:
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- original
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tags: []
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task_categories:
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- text2text-generation
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task_ids: []
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---
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# Romanian paraphrase
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![v2.0](https://img.shields.io/badge/V.2-19.08.2022-brightgreen)
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Fine-tune t5-base-paraphrase-ro model for paraphrase. Since there is no Romanian dataset for paraphrasing, I had to create my own [dataset](https://huggingface.co/datasets/BlackKakapo/paraphrase-ro-v2). The dataset contains ~30k examples.
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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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tokenizer = AutoTokenizer.from_pretrained("BlackKakapo/t5-base-paraphrase-ro-v2")
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model = AutoModelForSeq2SeqLM.from_pretrained("BlackKakapo/t5-base-paraphrase-ro-v2")
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```
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### Or
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```python
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from transformers import T5ForConditionalGeneration, T5TokenizerFast
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model = T5ForConditionalGeneration.from_pretrained("BlackKakapo/t5-base-paraphrase-ro-v2")
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tokenizer = T5TokenizerFast.from_pretrained("BlackKakapo/t5-base-paraphrase-ro-v2")
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```
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### Generate
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```python
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text = "Într-un interviu pentru Radio Europa Liberă România, acesta a menționat că Bucureștiul este pregătit oricând și ar dura doar o oră de la solicitare, până când gazele ar ajunge la Chișinău."
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encoding = tokenizer.encode_plus(text, pad_to_max_length=True, return_tensors="pt")
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input_ids, attention_masks = encoding["input_ids"], encoding["attention_mask"]
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beam_outputs = model.generate(
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input_ids=input_ids,
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attention_mask=attention_masks,
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do_sample=True,
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max_length=256,
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top_k=20,
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top_p=0.9,
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early_stopping=False,
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num_return_sequences=5
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)
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final_outputs = []
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for beam_output in beam_outputs:
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text_para = tokenizer.decode(beam_output, skip_special_tokens=True,clean_up_tokenization_spaces=True)
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if text.lower() != text_para.lower() or text not in final_outputs:
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final_outputs.append(text_para)
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print(final_outputs)
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```
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### Output
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```out
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['Într-un interviu cu Radio Europa Liberă România, el a spus că Bucureștiul este pregătit în orice moment și ar dura doar o oră de la cererea până când gazele ar ajunge la Chișinău.']
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```
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