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    Models/Audio To Audio/slprl/slam_scaled
    Audio To Audiotransformersmit

    slam_scaled

    by slprl

    Identifier
    Model ID
    slprl/slam_scaled

    Tags

    transformerssafetensorsspeech_language_modelaudio-to-audiodataset:openslr/librispeech_asrdataset:slprl/SpokenSwagdataset:slprl/sTinyStoriesarxiv:2502.15814base_model:Qwen/Qwen2.5-0.5Bbase_model:finetune:Qwen/Qwen2.5-0.5Blicense:mitendpoints_compatibleregion:us

    Use slam_scaled 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, slam_scaled runs as a managed extractor inside a processing pipeline. Point a bucket of audio to audio 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.