seamless-m4t-v2-large-speech-encoder

Use seamless-m4t-v2-large-speech-encoder on Mixpeek

Build multimodal processing pipelines with this model and others. Extract features, run inference, and set up retrieval in Mixpeek Studio.

On Mixpeek, seamless-m4t-v2-large-speech-encoder runs as a managed extractor inside a processing pipeline. Point a bucket of text to speech 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.