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    Models/Sentence Similarity/rufimelo/Legal-BERTimbau-large-TSDAE-v4-GPL-sts
    Sentence Similaritysentence-transformers

    Legal-BERTimbau-large-TSDAE-v4-GPL-sts

    by rufimelo

    Identifier
    Model ID
    rufimelo/Legal-BERTimbau-large-TSDAE-v4-GPL-sts

    Tags

    sentence-transformerspytorchsafetensorsbertfeature-extractionsentence-similaritytransformersptdataset:assindataset:assin2dataset:stsb_multi_mtdataset:rufimelo/PortugueseLegalSentences-v2model-indextext-embeddings-inferenceendpoints_compatibledeploy:azureregion:us

    Use Legal-BERTimbau-large-TSDAE-v4-GPL-sts on Mixpeek

    Build multimodal processing pipelines with this model and others. Extract features, run inference, and set up retrieval in Mixpeek Studio.

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    How It Runs on Mixpeek

    On Mixpeek, Legal-BERTimbau-large-TSDAE-v4-GPL-sts runs as a managed extractor inside a processing pipeline. Point a bucket of sentence similarity data at it, and Mixpeek handles GPU provisioning, batching, retries, and writing the outputs into a vector store you can query.

    Extractor outputs land in the Mixpeek Vector Store (MVS), where you can combine them with retrieval, reranking, and filter stages to build end-to-end search and agent-perception pipelines, no model-serving infrastructure to maintain.