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    Models/Text Classification/Hate-speech-CNERG/indic-abusive-allInOne-MuRIL
    Text Classificationtransformersafl-3.0

    indic-abusive-allInOne-MuRIL

    by Hate-speech-CNERG

    Identifier
    Model ID
    Hate-speech-CNERG/indic-abusive-allInOne-MuRIL

    Tags

    transformerspytorchsafetensorsberttext-classificationarxiv:2204.12543license:afl-3.0endpoints_compatibleregion:us

    Use indic-abusive-allInOne-MuRIL on Mixpeek

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    How It Runs on Mixpeek

    On Mixpeek, indic-abusive-allInOne-MuRIL 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.