language: pt thumbnail: "Portugues BERT for the Legal Domain" pipeline tag: sentence similarity tags: sentence transformers sentence similarity transformers datasets: assin assin2 rufimelo/PortugueseLegalSentences v0 widget: source sentence: "O advogado apresentou as provas ao juíz." sentences: "O juíz leu as provas." "O juíz leu o recurso." "O juíz atirou uma pedra." example title: "Example 1" model index: name: BERTimbau results: task: name: STS type: STS metrics: name: Pearson Correlation assin Dataset type: Pearson Correlation value: 0.76629 name: Pearson Correlation assin2 Dataset type: Pearson Correlation value: 0.82357 name: Pearson Correlation stsb multi mt pt Dataset type: Pearson Correlation value: 0.79120 rufimelo/Legal BERTimbau sts large This is a sentence transformers model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search. rufimelo/Legal BERTimbau sts large is based on Legal BERTimbau large which derives from BERTimbau large. It is adapted to the Portuguese legal domain and trained for STS on portuguese datasets. Usage (Sentence Transformers) Using this model becomes easy when you hav…
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