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    Models/Automatic Speech Recognition/MohamedRashad/Arabic-Whisper-CodeSwitching-Edition
    Automatic Speech Recognitiontransformersgpl-3.0

    Arabic-Whisper-CodeSwitching-Edition

    by MohamedRashad

    10Kdl/month
    30likes
    Identifier
    Model ID
    MohamedRashad/Arabic-Whisper-CodeSwitching-Edition

    Tags

    transformerssafetensorswhisperautomatic-speech-recognitionarendataset:MohamedRashad/arabic-english-code-switchinglicense:gpl-3.0endpoints_compatibledeploy:azureregion:us

    Use Arabic-Whisper-CodeSwitching-Edition 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, Arabic-Whisper-CodeSwitching-Edition 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.