sbert-legal-xlm-roberta-base is an open-source sentence embedding model based on XLM-RoBERTa, fine-tuned on legal corpora for semantic textual similarity tasks. It produces high-quality vector representations optimized for legal documents and multilingual use cases. Developers can integrate it via the sentence-transformers or Hugging Face Transformers libraries for retrieval, clustering, or classification in legal AI applications.
In the Foundation models & chat space, Sbert Legal Xlm Roberta Base takes a focused approach. It focuses on finding semantically similar legal texts across languages without task-specific training data. It is built as an open-source project for developers. Sbert Legal Xlm Roberta Base is open source under the Open Source license. It runs on the web, the command line, and API.
It is developed by Stern5497, and the product first shipped in 2023. Key capabilities include Sentence Similarity, Legal Domain, and multilingual.
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