NEWVectors or files. Pick a path.Start →
    Models/Question Answering/varun-v-rao/gpt2-squad-model2
    Question Answeringtransformersmit

    gpt2-squad-model2

    by varun-v-rao

    Identifier
    Model ID
    varun-v-rao/gpt2-squad-model2

    Tags

    transformerstensorboardsafetensorsgpt2question-answeringgenerated_from_trainerdataset:varun-v-rao/squadbase_model:openai-community/gpt2base_model:finetune:openai-community/gpt2license:mittext-generation-inferenceendpoints_compatibleregion:us

    Use gpt2-squad-model2 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, gpt2-squad-model2 runs as a managed extractor inside a processing pipeline. Point a bucket of question answering 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.