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    Models/Automatic Speech Recognition/obadx/muaalem-model-v3_2

    muaalem-model-v3_2

    by obadx

    Identifier
    Model ID
    obadx/muaalem-model-v3_2

    Tags

    transformerssafetensorsmulti_level_ctcquranautomatic-speech-recognitionardataset:obadx/muaalem-annotated-v3arxiv:2509.00094arxiv:1910.09700base_model:facebook/w2v-bert-2.0base_model:finetune:facebook/w2v-bert-2.0license:mitendpoints_compatibleregion:us

    Use muaalem-model-v3_2 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, muaalem-model-v3_2 runs as a managed extractor inside a processing pipeline. Point a bucket of automatic speech recognition 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.