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    Models/Text Classification/qandos0/SentimentArEng

    SentimentArEng

    by qandos0

    Identifier
    Model ID
    qandos0/SentimentArEng

    Tags

    transformerssafetensorsxlm-robertatext-classificationarenbase_model:cardiffnlp/twitter-xlm-roberta-base-sentimentbase_model:finetune:cardiffnlp/twitter-xlm-roberta-base-sentimenttext-embeddings-inferenceendpoints_compatibleregion:us

    Use SentimentArEng 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, SentimentArEng 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.