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README.md
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With a standard size of 137 million parameters, the model enables fast inference while delivering better performance than our small model. It is recommended to use a single GPU for inference.
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Additionally, we provide the following embedding models:
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- [`jina-embeddings-v2-small-en`](https://huggingface.co/jinaai/jina-embeddings-v2-small-en): 33 million parameters
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- [`jina-embeddings-v2-base-en`](https://huggingface.co/jinaai/jina-embeddings-v2-base-en): 137 million parameters
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- [`jina-embeddings-v2-base-zh`](): Chinese-English Bilingual
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- [`jina-embeddings-v2-base-de`](): German-English Bilingual
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- [`jina-embeddings-v2-base-es`](): Spanish-English Bilingual
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## Data & Parameters
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With a standard size of 137 million parameters, the model enables fast inference while delivering better performance than our small model. It is recommended to use a single GPU for inference.
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Additionally, we provide the following embedding models:
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- [`jina-embeddings-v2-small-en`](https://huggingface.co/jinaai/jina-embeddings-v2-small-en): 33 million parameters.
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- [`jina-embeddings-v2-base-en`](https://huggingface.co/jinaai/jina-embeddings-v2-base-en): 137 million parameters **(you are here)**.
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- [`jina-embeddings-v2-base-zh`](): Chinese-English Bilingual embeddings (soon).
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- [`jina-embeddings-v2-base-de`](): German-English Bilingual embeddings (soon).
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- [`jina-embeddings-v2-base-es`](): Spanish-English Bilingual embeddings (soon).
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## Data & Parameters
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