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@@ -2617,6 +2617,9 @@ model-index:
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  <b>The text embedding set trained by <a href="https://jina.ai/"><b>Jina AI</b></a>.</b>
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  </p>
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  ## Intended Usage & Model Info
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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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  )
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  ```
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- ## Fully-managed Embeddings Service
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- Alternatively, you can use Jina AI's [Embedding platform](https://jina.ai/embeddings/) for fully-managed access to Jina Embeddings models.
 
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  ## Use Jina Embeddings for RAG
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  <b>The text embedding set trained by <a href="https://jina.ai/"><b>Jina AI</b></a>.</b>
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  </p>
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+ ## Quick Start
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+
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+ The easiest way to starting using `jina-embeddings-v2-base-en` is to use Jina AI's [Embedding API](https://jina.ai/embeddings/).
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  ## Intended Usage & Model Info
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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`](https://huggingface.co/jinaai/jina-embeddings-v2-base-zh): Chinese-English Bilingual embeddings.
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+ - [`jina-embeddings-v2-base-de`](https://huggingface.co/jinaai/jina-embeddings-v2-base-de): German-English Bilingual embeddings.
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+ - [`jina-embeddings-v2-base-es`](https://huggingface.co/jinaai/jina-embeddings-v2-base-es): Spanish-English Bilingual embeddings.
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  ## Data & Parameters
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  )
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  ```
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+ ## Alternatives to Using Transformers Package
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+ 1. _Managed SaaS_: Get started with a free key on Jina AI's [Embedding API](https://jina.ai/embeddings/).
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+ 2. _Private and high-performance deployment_: Get started by picking from our suite of models and deploy them on [AWS Sagemaker](https://aws.amazon.com/marketplace/seller-profile?id=seller-stch2ludm6vgy).
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  ## Use Jina Embeddings for RAG
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