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Lemone mBERT tax
mBERT model adapted to French tax language, for clustering and semantic search.
What it does
A sentence-transformers model that maps French tax and legal sentences and paragraphs to a 768-dimensional vector, for clustering, semantic search and similar tasks. It loads with the sentence-transformers library or Hugging Face Transformers with PyTorch, after unsupervised adaptation to French tax language. The card gives example code but no benchmark results or stated limitations; Apache 2.0.
Where it fits on the map
Similar projects
Of the same kind, for a shared jurisdiction or tax area. Not a ranking.
- Lemone-Embed LEmbedding model for search over French tax texts, fine-tuned from multilingual-e5-large.
- SteuerLLM28-billion-parameter language model for German tax law analysis, from the SteuerLLM paper.
- AI-Powered-Tax-OptimizationRandom Forest model and Flask API that return one optimised tax figure from nine financial inputs.Inactive since 2024Demo
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