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@@ -2611,6 +2611,7 @@ The GTE series models are trained by Alibaba DAMO Academy. They are mainly based
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  We compared the performance of the GTE models with other popular text embedding models on the MTEB benchmark. For more detailed comparison results, please refer to the [MTEB leaderboard](https://huggingface.co/spaces/mteb/leaderboard).
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  | Model Name | Model Size (GB) | Dimension | Sequence Length | Average (56) | Clustering (11) | Pair Classification (3) | Reranking (4) | Retrieval (15) | STS (10) | Summarization (1) | Classification (12) |
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  |--- |--- |--- |--- |--- |--- |--- |--- |--- |--- |--- |--- |
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  | [gte-large](https://huggingface.co/thenlper/gte-large) | 0.67 | 1024 | 512 | 63.13 | 46.84 | 85 | 59.13 | 52.22 | 83.35 | 31.66 | 73.33 |
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  | [contriever-base-msmarco](https://huggingface.co/nthakur/contriever-base-msmarco) | 0.44 | 768 | 512 | 56 | 41.1 | 82.54 | 53.14 | 41.88 | 76.51 | 30.36 | 66.68 |
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  | [sentence-t5-base](https://huggingface.co/sentence-transformers/sentence-t5-base) | 0.22 | 768 | 512 | 55.27 | 40.21 | 85.18 | 53.09 | 33.63 | 81.14 | 31.39 | 69.81 |
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  ## Usage
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  Code example
 
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  We compared the performance of the GTE models with other popular text embedding models on the MTEB benchmark. For more detailed comparison results, please refer to the [MTEB leaderboard](https://huggingface.co/spaces/mteb/leaderboard).
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  | Model Name | Model Size (GB) | Dimension | Sequence Length | Average (56) | Clustering (11) | Pair Classification (3) | Reranking (4) | Retrieval (15) | STS (10) | Summarization (1) | Classification (12) |
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  |--- |--- |--- |--- |--- |--- |--- |--- |--- |--- |--- |--- |
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  | [gte-large](https://huggingface.co/thenlper/gte-large) | 0.67 | 1024 | 512 | 63.13 | 46.84 | 85 | 59.13 | 52.22 | 83.35 | 31.66 | 73.33 |
 
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  | [contriever-base-msmarco](https://huggingface.co/nthakur/contriever-base-msmarco) | 0.44 | 768 | 512 | 56 | 41.1 | 82.54 | 53.14 | 41.88 | 76.51 | 30.36 | 66.68 |
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  | [sentence-t5-base](https://huggingface.co/sentence-transformers/sentence-t5-base) | 0.22 | 768 | 512 | 55.27 | 40.21 | 85.18 | 53.09 | 33.63 | 81.14 | 31.39 | 69.81 |
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  ## Usage
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  Code example