Update README.md

README.md

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 ---
 license: apache-2.0
+language:
+- fr
+- en
+base_model:
+- BAAI/bge-m3
+pipeline_tag: sentence-similarity
+library_name: sentence-transformers
+tags:
+- evalllm2026
+- sentence-similarity
 ---
+# cea-list-ia/evalllm2026-mesh-finetuned
+
+This model was trained by the CEA-LIST to participate in the [evalLLM2026 challenge](https://github.com/cea-list-lasti/evalllm2026-distrib).
+
+## Model Description
+- **Trained by:** CEA-LIST
+- **Task:** Entity Linking (MeSH)
+- **Type:** Retriever (Embedding Model)
+- **Training Data:** Wikipedia, further trained on the training data of the challenge.
+
+This retriever is an embedding model designed to find the closest matches in MeSH for entity linking.
+
+## Usage
+
+### Query Prefix
+To use this model, you should prompt it with the following query prefix:
+`Represent this medical sentence for retrieving relevant MeSH terms:`
+
+## More Information
+For more details, please refer to the [GitHub repository](https://github.com/cea-list-lasti/evalllm2026-distrib).
+