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    Models/Text Generation/kevinscaria/atsc_tk-instruct-base-def-pos-neg-neut-combined
    Text Generationtransformersmit

    atsc_tk-instruct-base-def-pos-neg-neut-combined

    by kevinscaria

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    Identifier
    Model ID
    kevinscaria/atsc_tk-instruct-base-def-pos-neg-neut-combined

    Tags

    transformerspytorcht5text2text-generationNLPdataset:Yaxin/SemEval2014Task4Rawarxiv:2302.08624license:mittext-generation-inferenceendpoints_compatibleregion:us

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    How It Runs on Mixpeek

    On Mixpeek, atsc_tk-instruct-base-def-pos-neg-neut-combined runs as a managed extractor inside a processing pipeline. Point a bucket of text generation 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.