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license: cc-by-
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---
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license: cc-by-4.0
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language:
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- en
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tags:
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- ColBERT
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- passage-retrieval
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---
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<br><br>
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<p align="center">
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<img src="https://aeiljuispo.cloudimg.io/v7/https://cdn-uploads.huggingface.co/production/uploads/603763514de52ff951d89793/AFoybzd5lpBQXEBrQHuTt.png?w=200&h=200&f=face" alt="Finetuner logo: Finetuner helps you to create experiments in order to improve embeddings on search tasks. It accompanies you to deliver the last mile of performance-tuning for neural search applications." width="150px">
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</p>
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<p align="center">
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<b>Trained by <a href="https://jina.ai/"><b>Jina AI</b></a>.</b>
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</p>
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# Jina-ColBERT-v2
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## TODO
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## Other Models
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Additionally, we provide the following embedding models, you can also use them for retrieval.
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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`](https://huggingface.co/jinaai/jina-embeddings-v2-base-zh): 161 million parameters Chinese-English bilingual model.
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- [`jina-embeddings-v2-base-de`](https://huggingface.co/jinaai/jina-embeddings-v2-base-de): 161 million parameters German-English bilingual model.
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- [`jina-embeddings-v2-base-es`](https://huggingface.co/jinaai/jina-embeddings-v2-base-es): 161 million parameters Spanish-English bilingual model.
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## Contact
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Join our [Discord community](https://discord.jina.ai) and chat with other community members about ideas.
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