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Fix GitHub link and typo in README.md#13

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pathum25 wants to merge 2 commits into
agemagician:mainfrom
pathum25:patch-2
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Fix GitHub link and typo in README.md#13
pathum25 wants to merge 2 commits into
agemagician:mainfrom
pathum25:patch-2

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Updated the CodeTrans GitHub link and corrected a typo in the paper reference.

Updated the CodeTrans GitHub link and corrected a typo in the paper reference.

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Code Review

This pull request updates the README.md file, changing the repository URL to a personal fork and introducing a typo by appending a username after an arXiv link. The reviewer recommends reverting the repository URL to maintain consistency with other links in the document and fixing the typo to restore the correct sentence structure.

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Comment thread README.md Outdated
Comment thread README.md
[CodeTrans](https://github.com/pathum25/CodeTrans/) is providing **state of the art pre-trained models for source code**. CodeTrans was trained on **several Nvidia RTX 8000 GPUs** and **couple of Google TPUs** using various **State of the Art Transformers Models**.

Take a look into our paper [CodeTrans: Towards Cracking the Language of Silicon's Code Through Self-Supervised Deep Learning and High Performance Computing](https://arxiv.org/abs/2104.02443) for more information about our work.
Take a look into our paper [CodeTrans: Towards Cracking the Language of Silicon's Code Through Self-Supervised Deep Learning and High Performance Computing](https://arxiv.org/abs/2104.02443)pathum25 for more information about our work.

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medium

There is a typo in this line where the username pathum25 has been accidentally appended directly after the closing parenthesis of the paper's arXiv link. It should be removed to restore the correct sentence structure.

Suggested change
Take a look into our paper [CodeTrans: Towards Cracking the Language of Silicon's Code Through Self-Supervised Deep Learning and High Performance Computing](https://arxiv.org/abs/2104.02443)pathum25 for more information about our work.
Take a look into our paper [CodeTrans: Towards Cracking the Language of Silicon's Code Through Self-Supervised Deep Learning and High Performance Computing](https://arxiv.org/abs/2104.02443) for more information about our work.

Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
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