Chinese RoBERTa Base Models for Text Classification Model description This is the set of 5 Chinese RoBERTa Base classification models fine tuned by UER py, which is introduced in this paper. Besides, the models could also be fine tuned by TencentPretrain introduced in this paper, which inherits UER py to support models with parameters above one billion, and extends it to a multimodal pre training framework. You can download the 5 Chinese RoBERTa Base classification models either from the UER py Modelzoo page, or via HuggingFace from the links below: Dataset Link : : : : JD full [ roberta base finetuned jd full chinese ][jd full] JD binary [ roberta base finetuned jd binary chinese ][jd binary] Dianping [ roberta base finetuned dianping chinese ][dianping] Ifeng [ roberta base finetuned ifeng chinese ][ifeng] Chinanews [ roberta base finetuned chinanews chinese ][chinanews] How to use You can use this model directly with a pipeline for text classification (take the case of roberta base finetuned chinanews chinese): Training data 5 Chinese text classification datasets are used. JD full, JD binary, and Dianping datasets consist of user reviews of different sentiment polarities. Ifeng…
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