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# Zual/chess_char
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## Model Description
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`Zual/chess_char` is a GPT-2 based model trained to generate chess games in PGN (Portable Game Notation) format. It treats chess moves as a language modeling task, learning to predict the next character in a PGN sequence.
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- **Model Type:** GPT-2 (Decoder-only Transformer)
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- **Language(s):** PGN (Chess Notation)
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- **License:** MIT
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- **Related Paper:** "Compositions of relations with Transformers"
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- **GitHub Repository:** [](https://github.com/l-pommeret/chess_char_test)
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- **Colab Notebook:** [](https://colab.research.google.com/drive/129J3E6uJASrDLH7TsgOzFdSjAtvNPVRY?usp=sharing)
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## Intended Use
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This model is intended for research purposes to study the capabilities of Transformer models in learning structured, rule-based systems (like Chess) purely from observational data.
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[](https://github.com/l-pommeret/chess_char_test) [](https://colab.research.google.com/drive/129J3E6uJASrDLH7TsgOzFdSjAtvNPVRY?usp=sharing)
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# Zual/chess_char
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## Model Description
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`Zual/chess_char` is a GPT-2 based model trained to generate chess games in PGN (Portable Game Notation) format. It treats chess moves as a language modeling task, learning to predict the next character in a PGN sequence.
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## Intended Use
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This model is intended for research purposes to study the capabilities of Transformer models in learning structured, rule-based systems (like Chess) purely from observational data.
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