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jinaai
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jina-embedding-t-en-v1

Sentence Similarity
sentence-transformers
PyTorch
English
bert
finetuner
feature-extraction
text-embeddings-inference
Inference Endpoints
Model card Files Community
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@@ -37,9 +37,9 @@ the model enables lightning-fast inference on CPU, while still delivering impres
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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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  - `jina-embedding-1b-en-v1`: 1.2 billion parameters, 10 times bert-base (soon).
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  - `jina-embedding-6b-en-v1`: 6 billion parameters, 30 times bert-base (soon).
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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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  - `jina-embedding-1b-en-v1`: 1.2 billion parameters, 10 times bert-base (soon).
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  - `jina-embedding-6b-en-v1`: 6 billion parameters, 30 times bert-base (soon).
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