Updated README
Browse files- README.md +5 -0
- UI/ui1.png +0 -0
- UI/ui2.png +0 -0
README.md
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As the fine tuning takes some time and GPUs are not always available we checkpoint the progress after a certain amount of steps enabling us to resume the training if it was stopped abruptly.
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For the frontend we decided to use Gradio and its built-in components to display the chatbot. Additionally to the chatbot ui we integrated a chess chatbox which accepts chess games in the format displayed in the placeholder, as well as a chessboard which shows the moves that were played in that chess match. An example dataset containing chess moves can be found [here](https://huggingface.co/datasets/mlabonne/chessllm).
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As the fine tuning takes some time and GPUs are not always available we checkpoint the progress after a certain amount of steps enabling us to resume the training if it was stopped abruptly.
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For the frontend we decided to use Gradio and its built-in components to display the chatbot. Additionally to the chatbot ui we integrated a chess chatbox which accepts chess games in the format displayed in the placeholder, as well as a chessboard which shows the moves that were played in that chess match. An example dataset containing chess moves can be found [here](https://huggingface.co/datasets/mlabonne/chessllm).
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**Screenshots of the UI**:
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The UI features the animation of the chess string that was put into the chess chatbox. Please note that the input must follow the format specified in the helper text.
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![ui2](./UI/ui2.png)
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![ui1](./UI/ui1.png)
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UI/ui1.png
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UI/ui2.png
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