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    Models/Text Classification/tabularisai/multilingual-sentiment-analysis
    Text Classificationtransformerscc-by-nc-4.0

    multilingual-sentiment-analysis

    by tabularisai

    538Kdl/month
    391likes
    Identifier
    Model ID
    tabularisai/multilingual-sentiment-analysis

    Tags

    transformerssafetensorsdistilberttext-classificationsentiment-analysissentimentsynthetic datamulti-classsocial-media-analysiscustomer-feedbackproduct-reviewsbrand-monitoringmultilingual🇪🇺region:eusyntheticenzheshiarbnptrujademsteviko

    Use multilingual-sentiment-analysis 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, multilingual-sentiment-analysis runs as a managed extractor inside a processing pipeline. Point a bucket of text classification 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.