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evalllm2026-geonames-finetuned – AI Model by cea-list-ia | AlphaNeural AI
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cea-list-ia
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evalllm2026-geonames-finetuned
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sentence-transformers
safetensors
xlm-roberta
evalllm2026
sentence-similarity
fr
en
BAAI/bge-m3
finetune
apache-2.0
text-embeddings-inference
endpoints_compatible
us
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cea-list-ia/evalllm2026-geonames-finetuned
This model was trained by the CEA-LIST to participate in the
evalLLM2026 challenge
.
Model Description
Trained by:
CEA-LIST
Task:
Entity Linking (MeSH)
Type:
Retriever (Embedding)
Training Data:
Wikipedia, further trained on the training data of the challenge.
This retriever is an embedding models designed to find the closest match in GeoNames for entity linking.
Usage
Query Prefix
To use this model, you should prompt it with the following query prefix:
Represent this geographical sentence for retrieving relevant GeoNames terms:
More Information
For more details, please refer to the
GitHub repository
.
