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README.md
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@@ -36,7 +36,7 @@ With a tiny small parameter size of just 14 million parameters,
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the model enables lightning-fast inference on CPU, while still delivering impressive performance.
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Additionally, we provide the following options:
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- [jina-embedding-t-en-v1](https://huggingface.co/jinaai/jina-embedding-t-en-v1): 14 million parameters **(you are here)**.
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- [jina-embedding-s-en-v1](https://huggingface.co/jinaai/jina-embedding-s-en-v1): 35 million parameters.
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- [jina-embedding-b-en-v1](https://huggingface.co/jinaai/jina-embedding-b-en-v1): 110 million parameters.
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- [jina-embedding-l-en-v1](https://huggingface.co/jinaai/jina-embedding-l-en-v1): 330 million parameters.
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the model enables lightning-fast inference on CPU, while still delivering impressive performance.
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Additionally, we provide the following options:
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+
- [`jina-embedding-t-en-v1`](https://huggingface.co/jinaai/jina-embedding-t-en-v1): 14 million parameters **(you are here)**.
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- [jina-embedding-s-en-v1](https://huggingface.co/jinaai/jina-embedding-s-en-v1): 35 million parameters.
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- [jina-embedding-b-en-v1](https://huggingface.co/jinaai/jina-embedding-b-en-v1): 110 million parameters.
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- [jina-embedding-l-en-v1](https://huggingface.co/jinaai/jina-embedding-l-en-v1): 330 million parameters.
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