NEWVectors or files. Pick a path.Start →
    Models/Fill Mask/FacebookAI/xlm-roberta-large
    Fill Masktransformersmit

    xlm-roberta-large

    by FacebookAI

    Identifier
    Model ID
    FacebookAI/xlm-roberta-large

    Tags

    transformerspytorchtfjaxonnxsafetensorsxlm-robertafill-maskexbertmultilingualafamarasazbebgbnbrbscacscydadeeleneoeset

    Use xlm-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, xlm-roberta-large runs as a managed extractor inside a processing pipeline. Point a bucket of fill mask 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.