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  `jina-embeddings-v2-base-zh` is a Chinese/English bilingual text **embedding model** supporting **8192 sequence length**.
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  It is based on a BERT architecture (JinaBERT) that supports the symmetric bidirectional variant of [ALiBi](https://arxiv.org/abs/2108.12409) to allow longer sequence length.
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- We have designed it for high performance in mongolingual & cross-language applications and trained it specifically to support mixed Chinese-English input without bias.
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  Additionally, we provide the following embedding models:
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- `jina-embeddings-v2-base-zh` 是支持中英双语的文本**向量**模型,它支持长达**8192字符**的文本编码。
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  该模型的研发基于BERT架构(JinaBERT),JinaBERT是在BERT架构基础上的改进,首次将[ALiBi](https://arxiv.org/abs/2108.12409)应用到编码器架构中以支持更长的序列。
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  不同于以往的单语言/多语言向量模型,我们设计双语模型来更好的支持单语言(中搜中)以及跨语言(中搜英)文档检索。
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  除此之外,我们也提供其它向量模型:
 
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  `jina-embeddings-v2-base-zh` is a Chinese/English bilingual text **embedding model** supporting **8192 sequence length**.
1082
  It is based on a BERT architecture (JinaBERT) that supports the symmetric bidirectional variant of [ALiBi](https://arxiv.org/abs/2108.12409) to allow longer sequence length.
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+ We have designed it for high performance in mono-lingual & cross-lingual applications and trained it specifically to support mixed Chinese-English input without bias.
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  Additionally, we provide the following embedding models:
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+ `jina-embeddings-v2-base-zh` 是支持中英双语的**文本向量**模型,它支持长达**8192字符**的文本编码。
1087
  该模型的研发基于BERT架构(JinaBERT),JinaBERT是在BERT架构基础上的改进,首次将[ALiBi](https://arxiv.org/abs/2108.12409)应用到编码器架构中以支持更长的序列。
1088
  不同于以往的单语言/多语言向量模型,我们设计双语模型来更好的支持单语言(中搜中)以及跨语言(中搜英)文档检索。
1089
  除此之外,我们也提供其它向量模型: