
# Paraphraser Model Card

## Model Details

- **Model Name**: Paraphraser
- **Model ID**: SRD/Paraphraser
- **Author**: SRD
- **Language**: English
- **License**: Apache-2.0

## Description

The Paraphraser is a sequence-to-sequence model fine-tuned for paraphrasing sentences. It is built upon the T5 (Text-to-Text Transfer Transformer) architecture and aims to generate diverse paraphrases for a given input sentence.

## Intended Use

The primary purpose of this model is to assist users in generating paraphrases for input sentences. It can be utilized in various natural language processing tasks, including data augmentation, text generation, and content rewriting.

## Limitations and Considerations

- The quality of paraphrases may vary, and it is recommended to review generated outputs.
- The model might produce paraphrases that are contextually incorrect or nonsensical.
- Long sentences or complex language may result in less coherent paraphrases.
- The model is sensitive to input phrasing, and slight rephrasing may lead to different outputs.

## Training Data

The model is trained on a SQUAD dataset composed of diverse sentences from various sources to ensure a broad understanding of language and context.
{"language": "en", "license": "apache-2.0", "tags": ["text-generation", "paraphrasing", "transformer"], "datasets": ["SQUAD"], "pipeline_tag": "text2text-generation"}
transformers pytorch t5 text2text-generation text-generation paraphrasing transformer en dataset:SQUAD license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us