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    Models/Automatic Speech Recognition/Oriserve/Whisper-Hindi2Hinglish-Prime
    Automatic Speech Recognitiontransformersapache-2.0

    Whisper-Hindi2Hinglish-Prime

    by Oriserve

    Identifier
    Model ID
    Oriserve/Whisper-Hindi2Hinglish-Prime

    Deploy Whisper-Hindi2Hinglish-Prime

    Single-tenant

    Mixpeek has no managed extractor for this model. On a single-tenant deployment you upload the weights and a custom plugin serves them next to the rest of your pipeline.

    Tags

    transformerssafetensorswhisperautomatic-speech-recognitionaudiowhisper-eventpytorchhinglishenhibase_model:openai/whisper-large-v3base_model:finetune:openai/whisper-large-v3license:apache-2.0model-indexendpoints_compatibleregion:usdeploy:azure

    Use Whisper-Hindi2Hinglish-Prime 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, Whisper-Hindi2Hinglish-Prime 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.