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    Models/Text Classification/trl-internal-testing/tiny-Qwen3MoeForSequenceClassification

    tiny-Qwen3MoeForSequenceClassification

    by trl-internal-testing

    Identifier
    Model ID
    trl-internal-testing/tiny-Qwen3MoeForSequenceClassification

    Tags

    transformerssafetensorsqwen3_moetext-classificationtrlendpoints_compatibleregion:us

    Use tiny-Qwen3MoeForSequenceClassification 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, tiny-Qwen3MoeForSequenceClassification 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.