Add model seq_len and dimensions to the README.md

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  1. README.md +11 -0
README.md CHANGED
@@ -25,6 +25,17 @@ This allows you to obtain token weights (similar to the BM25) without any additi
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  Utilizing the re-ranking model (e.g., [bge-reranker](https://github.com/FlagOpen/FlagEmbedding/tree/master/FlagEmbedding/reranker), [cohere-reranker](https://txt.cohere.com/rerank/)) after retrieval can further filter the selected text.
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  ## FAQ
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  **1. Introduction for different retrieval methods**
 
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  Utilizing the re-ranking model (e.g., [bge-reranker](https://github.com/FlagOpen/FlagEmbedding/tree/master/FlagEmbedding/reranker), [cohere-reranker](https://txt.cohere.com/rerank/)) after retrieval can further filter the selected text.
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+ ## Model Specs
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+ | Model Name | Dimension | Sequence Length |
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+ |:----:|:---:|:---:|
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+ | [BAAI/bge-m3](https://huggingface.co/BAAI/bge-m3) | 1024 | 8192 |
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+ | [BAAI/bge-large-en-v1.5](https://huggingface.co/BAAI/bge-large-en-v1.5) | 1024 | 512 |
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+ | [BAAI/bge-base-en-v1.5](https://huggingface.co/BAAI/bge-base-en-v1.5) | 768 | 512 |
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+ | [BAAI/bge-small-en-v1.5](https://huggingface.co/BAAI/bge-small-en-v1.5) | 384 | 512 |
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  ## FAQ
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  **1. Introduction for different retrieval methods**