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README.md

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@@ -94,7 +94,7 @@ Our official experiment uses the following provided hyper-parameters for IR mode
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For the neural dense retrieval or embedding models, the configs are listed below.
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| Model name | batch size<br/> (for encode documentation or query) | Backend APIs <br/>(to load the model) |
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|:----------------------------------------------------------------------------------------------------------------------------|:----------------------------------------------------|:-------------------------------------:|
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|:----------------------------------------------------------------------------------------------------------------------------:|:----------------------------------------------------:|:-------------------------------------:|
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| [sentence-transformers/all-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2) | 16 | Sentence transformer |
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| [facebook/contriever-msmarco](https://huggingface.co/facebook/contriever-msmarco) | 16 | Huggingface-AutoModel |
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| [Tool-COLT/contriever-base-msmarco-v1-ToolBenchG3](https://huggingface.co/Tool-COLT/contriever-base-msmarco-v1-ToolBenchG3) | 16 | Sentence transformer |
@@ -116,7 +116,7 @@ For the neural dense retrieval or embedding models, the configs are listed below
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For the re-ranking based models, we also provide their evaluation config as below.
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| Model name | batch size<br/> (for encode documentation or query) | Backend APIs <br/>(to load the model) |
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|:--------------------------------------------------------------------------------------------------------------|:----------------------------------------------------|:-------------------------------------:|
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|:--------------------------------------------------------------------------------------------------------------:|:----------------------------------------------------:|:-------------------------------------:|
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| [castorini/monot5-base-msmarco](https://huggingface.co/castorini/monot5-base-msmarco) | 16 | AnswerDotAI/rerankers |
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| [jinaai/jina-reranker-v2-base-multilingual](https://huggingface.co/jinaai/jina-reranker-v2-base-multilingual) | 16 | AnswerDotAI/rerankers |
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| [BAAI/bge-reranker-v2-gemma](https://huggingface.co/BAAI/bge-reranker-v2-gemma) | 2 | FlagOpen/FlagEmbedding |

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