GigaAM v3 E2E RNNT Core ML is an open-source speech recognition model designed for deployment on Apple devices via Core ML. It provides separate encoder, predictor, and joiner components for efficient on-device inference. Ideal for developers building speech-enabled applications.
Gigaam V3 E2e Rnnt Coreml sits in PulseGate's Other AI category. It focuses on enabling on-device speech recognition using an open-source Core ML model. Gigaam V3 E2e Rnnt Coreml is an open-source project aimed at machine learning developers. The project is open source (MIT). It runs on the web and API.
vadimsuhanov builds and maintains Gigaam V3 E2e Rnnt Coreml, and the product first shipped in 2024. The project is developed in the open on GitHub with 650 stars and 4 commits in the last 90 days. Across PulseGate's embedding index, Gigaam V3 E2e Rnnt Coreml has few near neighbours, marking it as relatively distinct. Among its 4 catalogued features are speech recognition, Core ML compatible, and Greedy RNNT decoding.
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