# Which model select?

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**Category:** Beginners\
**Created:** [May 18, 2025, 10:08am UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fwhich-model-select%2F155741 "2025-05-18T10:08:20Z")\
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**Author:** ![John6666](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/john6666/32/27664_2.png) [@John6666](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2FJohn6666)%5C
**Post date:** [May 18, 2025, 11:45am UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fwhich-model-select%2F155741%2F2 "2025-05-18T11:45:32Z")

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There are many models available for paraphrasing, but when compressing (summarizing) text, it may be easier to use an LLM.

> [@Simple Model to rewrite/paraphrase](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fsimple-model-to-rewrite-paraphrase%2F145918)%3A
>
> Hey, I am searching for a model, that can be used for re-writing a text using in a sophisticated style and is as small as possible (should focus only on this task). I was trying to use the the T5, BART and PEGASUS model but the first two did not change the text while the later gave a completely different text. The paraphrase models seem to map sentences and paragraphs to dense vectors instead of creating new sentences. from transformers import PegasusForConditionalGeneration, PegasusTokenize…

> **[Models - Hugging Face](https://huggingface.co/models?search=paraphrase)**
>
> We’re on a journey to advance and democratize artificial intelligence through open source and open science.

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