Update README.md

README.md

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 # ViT5-large Finetuned on `vietnews` Abstractive Summarization
 
 
-State-of-the-art pretrained Transformer-based encoder-decoder model for Vietnamese.
-[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/vit5-pretrained-text-to-text-transformer-for/abstractive-text-summarization-on-vietnews)](https://paperswithcode.com/sota/abstractive-text-summarization-on-vietnews?p=vit5-pretrained-text-to-text-transformer-for)
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-
-## How to use
-For more details, do check out [our Github repo](https://github.com/vietai/ViT5) and [eval script](https://github.com/vietai/ViT5/blob/main/eval/Eval_vietnews_sum.ipynb). 
 
 ```python
 from transformers import AutoTokenizer, AutoModelForSeq2SeqLM