bert-base-multilingual-cased在中文上的表现BERT(BidirectionalEncoderRepresentationsfromTransformers)是一种预训练的语言模型,可以用于各种自然语言处理任务。"bert-base-multilingual-cased"是BERT的一个版本,它是在多种语言上进行了预训练,包括中文。在中文上,"bert-base-multilingual-cased"通常表现良好,具有以下优点:多...
fromtransformersimportBertTokenizer, BertModel tokenizer = BertTokenizer.from_pretrained('bert-base-multilingual-cased') model = BertModel.from_pretrained("bert-base-multilingual-cased") text ="Replace me by any text you'd like."encoded_input = tokenizer(text, return_tensors='pt') output = mode...
Review on BERT Base Multilingual Cased Apr 8, 2022 What do you like best about the product?Best part of the BERT Base Multilingual Cased is generating a whole sentence. It nails it with maximum accuracy in my opinion.What do you dislike about the product?I disliked this model while generati...
框架: JAX Safetensors TensorFlow + 1 更多 其他: pytorch License: License: apache-2.0 加入合集 模型评测 部署 微调实例 下载模型 main bert-base-multilingual-cased 1 贡献者 提交历史 JoshuaUpload fp16 ONNX weightsde3cdbe 10 个月前
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