Duplicate from cea-list-ia/evalllm2026-mesh

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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
+
+This model was trained by the CEA-LIST to participate in the [evalLLM2026 challenge](https://evalllm2026.sciencesconf.org/).
+
+## Model Description
+- **Trained by:** CEA-LIST
+- **Task:** Entity Linking (MeSH)
+- **Type:** Retriever (Embedding)
+- **Training Data:** Wikipedia
+
+This retriever is an embedding models designed to find the closest match 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).

config.json

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+{
+  "add_cross_attention": false,
+  "architectures": [
+    "XLMRobertaModel"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "dtype": "float32",
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 1024,
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "is_decoder": false,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 8194,
+  "model_type": "xlm-roberta",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "output_past": true,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "tie_word_embeddings": true,
+  "transformers_version": "5.3.0",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 250002
+}

model.safetensors

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tokenizer.json

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tokenizer_config.json

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+{
+  "add_prefix_space": true,
+  "backend": "tokenizers",
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "is_local": true,
+  "mask_token": "<mask>",
+  "model_max_length": 8192,
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "XLMRobertaTokenizer",
+  "unk_token": "<unk>"
+}