MODEL PROFILE

jina-embeddings-v2-base-es

jinaai · jina-embeddings-v2-base-es

`jina-embeddings-v2-base-es` is a Spanish/English bilingual text **embedding model** supporting **8192 sequence length**. It is based on a BERT architecture (JinaBERT) that supports the symmetric bidirectional variant of ALiBi to allow longer sequence length. We have designed it for high performance in mono-lingual & cross-lingual applications and trained it specifically to support mixed Spanish-English input without bias. Additionally, we provide the following embedding models: `jina-embeddings-v2-base-es` es un modelo (embedding) de texto bilingüe Inglés/Español que admite una longitud de secuencia de 8192. Se basa en la arquitectura BERT (JinaBERT) que incorpora la variante bi-direccional simétrica de ALiBi para permitir una mayor longitud de secuencia. Hemos diseñado este modelo para un alto rendimiento en aplicaciones monolingües y bilingües, y está entrenando específicamente para admitir entradas mixtas de español e inglés sin sesgo. Adicionalmente, proporcionamos los siguientes modelos (embeddings): `mean pooling` takes all token embeddings from model output and averaging them at sentence/paragraph level. It has been proved to be the most effective way to produce high-quality sentence embeddings. We offer an `encode` function to deal with this.

Embeddings & similaritylicense:apache-2.0
Context windowNot disclosed
Input → OutputText → Embedding
Model weightsNot verified
Profile updated2026/10/30 22:15:43
OVERVIEW

Model overview

`jina-embeddings-v2-base-es` is a Spanish/English bilingual text **embedding model** supporting **8192 sequence length**. It is based on a BERT architecture (JinaBERT) that supports the symmetric bidirectional variant of ALiBi to allow longer sequence length. We have designed it for high performance in mono-lingual & cross-lingual applications and trained it specifically to support mixed Spanish-English input without bias. Additionally, we provide the following embedding models: `jina-embeddings-v2-base-es` es un modelo (embedding) de texto bilingüe Inglés/Español que admite una longitud de secuencia de 8192. Se basa en la arquitectura BERT (JinaBERT) que incorpora la variante bi-direccional simétrica de ALiBi para permitir una mayor longitud de secuencia. Hemos diseñado este modelo para un alto rendimiento en aplicaciones monolingües y bilingües, y está entrenando específicamente para admitir entradas mixtas de español e inglés sin sesgo. Adicionalmente, proporcionamos los siguientes modelos (embeddings): `mean pooling` takes all token embeddings from model output and averaging them at sentence/paragraph level. It has been proved to be the most effective way to produce high-quality sentence embeddings. We offer an `encode` function to deal with this.

Key features

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PRICING & COST

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INDEPENDENT BENCHMARKS

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Sources & traceability

许可证:apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。