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    Models/Feature Extraction/hyp1231/blair-roberta-large
    Feature Extractiontransformersmit

    blair-roberta-large

    by hyp1231

    Identifier
    Model ID
    hyp1231/blair-roberta-large

    Tags

    transformerssafetensorsrobertafeature-extractionrecommendationinformation retrievalAmazon Reviews 2023endataset:McAuley-Lab/Amazon-Reviews-2023arxiv:2403.03952base_model:FacebookAI/roberta-basebase_model:finetune:FacebookAI/roberta-baselicense:mittext-embeddings-inferenceendpoints_compatibledeploy:azureregion:us

    Use blair-roberta-large 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, blair-roberta-large runs as a managed extractor inside a processing pipeline. Point a bucket of feature extraction 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.