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这是一个git lfs项目。
没有改造数据前的模型性能： knowledge points - max length is 1566, min length is 3, ave length is 87.96, 95% quantile is 490. question and answer - max length is 303, min length is 8, ave length is 47.09, 95% quantile is 119. 303精度为：2562/5232=48.97%
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# Load model directly from transformers import AutoTokenizer, BertForCL tokenizer = AutoTokenizer.from_pretrained("dragonStyle/bert-303-step35000") model = BertForCL.from_pretrained("dragonStyle/bert-303-step35000")