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@@ -9,6 +9,8 @@ library_name: peft
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  base_model: Qwen/Qwen2.5-7B-Instruct
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  library_name: peft
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  It should be noted that the MTIPA, TIPA, and training data for this model are all from Chinese, and support for other languages may not be sufficient. If you need to train a model specific to a particular language or for a general purpose, please refer to our paper and GitHub
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  This model is trained on the MTIPA dataset, and its function is to predict the position of Chinese misspelled characters and output the original misspelled characters and corrected characters
 
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  base_model: Qwen/Qwen2.5-7B-Instruct
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  library_name: peft
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+ If you are unable to directly use [MTIPA-7B-LoRA(This model)](https://huggingface.co/LLMMINE/MTIPA-7B-PositionTask/tree/main)\(Recommend\), **[This is an MTIPA-7B merged LoRA version.](https://huggingface.co/LLMMINE/MTIPA-7B-POSITION-MERGE)** Please load the model directly.
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  It should be noted that the MTIPA, TIPA, and training data for this model are all from Chinese, and support for other languages may not be sufficient. If you need to train a model specific to a particular language or for a general purpose, please refer to our paper and GitHub
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  This model is trained on the MTIPA dataset, and its function is to predict the position of Chinese misspelled characters and output the original misspelled characters and corrected characters