RoBERTa-wwm-base模型可以通过以下链接下载: [ 你可以使用transformers库中的AutoModel和AutoTokenizer类来加载和使用模型。 fromtransformersimportAutoModel,AutoTokenizer model_name="hfl/chinese-roberta-wwm-ext"model=AutoModel.from_pretrained(model_name)tokenizer=AutoTokenizer.from_pretrained(model_name) 1. 2. ...
我在使用hfl/chinese-roberta-wwm-ext-large模型,在下游任务上微调mlm_loss的时候发现loss是300多,并且一直升高; 我用模型测试了几个mask句子任务,发现只有hfl/chinese-roberta-wwm-ext-large有问题,结果如下 我测试使用的是transformers里的TFBertForMaskedLM,具体代
Ptuning: 自动构建模板; Zero-shot: 零样本学习;EFL:自然语言推理形式; ADAPET:PET改进版,带正确标签条件优化 FineTuningB:FineTuningBert; FineTuningR:FineTuningRoberta; PtuningB:Ptuning_RoBERTa; PtuningGPT:Ptuning_GPT; Zero-shot-R,采用chinese_roberta_wwm_ext为基础模型的零样本学习;Zero-shot-G,GPT...
我们使用BERT-base-chinese作为BERT模型,哈工大讯飞联合实验室发布的中文RoBERTa-wwm-ext-large预训练模型作为RoBERTa模型进行实验(该模型并非原版RoBERTa,只是按照类似于RoBERTa训练方式训练出的BERT模型,所以集成了RoBERTa和BERT-wwm的优点)。 关于CRF、BERT、RoBERTa更详细的说明参见:教你用PyTorch轻松入门Roberta! 4、数据...
RoBERTa-wwm-exthfl/chinese-roberta-wwm-ext BERT-wwm-exthfl/chinese-bert-wwm-ext BERT-wwmhfl/chinese-bert-wwm RBT3hfl/rbt3 RBTL3hfl/rbtl3 使用PaddleHub 依托PaddleHub,只需一行代码即可完成模型下载安装,十余行代码即可完成文本分类、序列标注、阅读理解等任务。
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In this project, RoBERTa-wwm-ext [Cui et al., 2019] pre-train language model was adopted and fine-tuned for Chinese text classification. The models were able to classify Chinese texts into two categories, containing descriptions of legal behavior and descriptions of illegal behavior. Four ...
hfl/chinese-roberta-wwm-ext · Hugging Face https://huggingface.co/hfl/chinese-roberta-wwm-ext 网页Chinese BERT with Whole Word Masking. For further accelerating Chinese natural language processing, we provide Chinese pre-trained BERT with Whole Word Masking. Pre … hfl / chinese-roberta-wwm-ext...
如BERT-wwm和BERT-wwm-ext之间的比较所示。这就是为什么我们在RoBERTa、ELECTRA和MacBERT中使用扩展数据。
Pre-Training with Whole Word Masking for Chinese BERT(中文BERT-wwm系列模型) - Chinese-BERT-wwm/README.md at master · Yolymaker/Chinese-BERT-wwm