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beyond
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genius-large

Transformers
PyTorch
English
Chinese
bart
text2text-generation
GENIUS
conditional text generation
sketch-based text generation
data augmentation
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  **SEGA** is a **general text augmentation model** that can be used for data augmentation for **various NLP tasks** (including sentiment analysis, topic classification, NER, and QA). SEGA uses an encoder-decoder structure (based on the BART architecture) and is pre-trained on the `C4-realnewslike` corpus.
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  - Paper: [this paper](to_be_added)
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  - Github: [this repository](to_be_added).
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  **SEGA** is a **general text augmentation model** that can be used for data augmentation for **various NLP tasks** (including sentiment analysis, topic classification, NER, and QA). SEGA uses an encoder-decoder structure (based on the BART architecture) and is pre-trained on the `C4-realnewslike` corpus.
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+ ![sega-illustration](https://cdn.jsdelivr.net/gh/beyondguo/mdnice_pictures/typora/sega-main-illustration.png)
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  - Paper: [this paper](to_be_added)
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  - Github: [this repository](to_be_added).
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