Upload README.md with huggingface_hub

README.md

@@ -8991,7 +8991,7 @@ QA (en&zh, nDCG@10):
 
 | Model                                                        |      Language       |                                                              |                         Description                          |             query instruction for retrieval [1]              |
 | :----------------------------------------------------------- | :-----------------: | :----------------------------------------------------------: | :----------------------------------------------------------: | :----------------------------------------------------------: |
-| [BAAI/bge-multilingual-gemma2](https://huggingface.co/BAAI/bge-multilingual-gemma2) |    Multilingual     |                              -                               | A LLM-based multilingual embedding model, **SOTA** on MIRACL, MTEB-fr, and MTEB-pl (as of July 26, 2024) |        Provide instructions based on the given task.         |
+| [BAAI/bge-multilingual-gemma2](https://huggingface.co/BAAI/bge-multilingual-gemma2) |    Multilingual     |                              -                               | A LLM-based multilingual embedding model, trained on a diverse range of languages and tasks.         |
 | [BAAI/bge-en-icl](https://huggingface.co/BAAI/bge-en-icl)    |       English       |                              -                               | A LLM-based dense retriever with in-context learning capabilities can fully leverage the model's potential based on a few shot examples(4096 tokens) | Provide instructions and few-shot examples freely based on the given task. |
 | [BAAI/bge-m3](https://huggingface.co/BAAI/bge-m3)            |    Multilingual     | [Inference](https://github.com/FlagOpen/FlagEmbedding/tree/master/FlagEmbedding/BGE_M3#usage) [Fine-tune](https://github.com/FlagOpen/FlagEmbedding/tree/master/FlagEmbedding/BGE_M3) | Multi-Functionality(dense retrieval, sparse retrieval, multi-vector(colbert)), Multi-Linguality, and Multi-Granularity(8192 tokens) |                                                              |
 | [BAAI/llm-embedder](https://huggingface.co/BAAI/llm-embedder) |       English       | [Inference](./FlagEmbedding/llm_embedder/README.md) [Fine-tune](./FlagEmbedding/llm_embedder/README.md) | a unified embedding model to support diverse retrieval augmentation needs for LLMs |     See [README](./FlagEmbedding/llm_embedder/README.md)     |