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    Models/Feature Extraction/michaelfeil/ct2fast-LaBSE
    Feature Extractiontransformersapache-2.0

    ct2fast-LaBSE

    by michaelfeil

    Identifier
    Model ID
    michaelfeil/ct2fast-LaBSE

    Tags

    transformersbertfeature-extractionctranslate2int8float16 - bert - sentence_embedding - multilingual - google - sentence-similarityafamarasazbebgbnbobscacebcocscydadeeleneoeseteufa

    Use ct2fast-LaBSE on Mixpeek

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

    Open Studio

    How It Runs on Mixpeek

    On Mixpeek, ct2fast-LaBSE runs as a managed extractor inside a processing pipeline. Point a bucket of feature extraction 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.