This model is trained on 180G data, we recommend using this one than the original version. 示例代码 from

示例代码 from modelscope.pipelines import pipeline from modelscope.utils.constant import Tasks pipelin

示例代码 from modelscope.pipelines import pipeline from modelscope.utils.constant import Tasks pipelin

This model is trained on 180G data, we recommend using this one than the original version. 示例代码 from

Please use ElectraForPreTraining for discriminator and ElectraForMaskedLM for generator if you are r

示例代码 from modelscope.pipelines import pipeline from modelscope.utils.constant import Tasks pipelin

示例代码 from modelscope.pipelines import pipeline from modelscope.utils.constant import Tasks pipelin

Please use ElectraForPreTraining for discriminator and ElectraForMaskedLM for generator if you are r

Chinese Pre-Trained XLNet This project provides a XLNet pre-training model for Chinese, which aims t

示例代码 from modelscope.pipelines import pipeline from modelscope.utils.constant import Tasks pipelin

示例代码 from modelscope.pipelines import pipeline from modelscope.utils.constant import Tasks pipelin

This model is trained on 180G data, we recommend using this one than the original version. Chinese E

Chinese Pre-Trained XLNet This project provides a XLNet pre-training model for Chinese, which aims t

示例代码 from modelscope.pipelines import pipeline from modelscope.utils.constant import Tasks pipelin

This is a re-trained 6-layer RoBERTa-wwm-ext model. Chinese BERT with Whole Word Masking For further

This is a re-trained 3-layer RoBERTa-wwm-ext model. Chinese BERT with Whole Word Masking For further

示例代码 from modelscope.pipelines import pipeline from modelscope.utils.constant import Tasks pipelin

This is a re-trained 3-layer RoBERTa-wwm-ext-large model. Chinese BERT with Whole Word Masking For f

示例代码 from modelscope.pipelines import pipeline from modelscope.utils.constant import Tasks pipelin

Chinese BERT with Whole Word Masking For further accelerating Chinese natural language processing, w