Shared BERT and dictionary for SBV2 Core ML

For SBV2 Core ML on iOS 18+ and macOS 15+ Apple Silicon. Download the companion package as well. Package size is approximately 1.52 GB; allow extra space for first-use Core ML compilation.

Download and use

In the sample's モデル設定 → URLからモデルを取得, choose the package type and enter:

https://huggingface.co/AILogDev/sbv2-coreml-common/resolve/main/download.json

Alternatively use the Hugging Face CLI:

hf download AILogDev/sbv2-coreml-common --local-dir models/sbv2-coreml-common

Download the entire folder, including the contents of .mlpackage directories. Pass bert/ and dictionary/ to ModelPaths. Select the package root as 共通モデル in the sample. Speech synthesis works offline after downloading both packages.

Quick Start · SDK integration

Attribution and licenses

BERT by Kyoto University NLP group: original model, revision 547b0e8b044fba3f9b84d0ab9f990440bd130c8b. Converted to two FP32 Core ML models with input lengths 64/128/256, without retraining or quantization. BERT is CC BY-SA 4.0. The Open JTalk 1.11 UTF-8 dictionary has separate BSD notices in dictionary/COPYING.

See LICENSE.md, provenance.json and checksums.json for licenses, conversion details and SHA-256 checksums. This is an unofficial conversion and is not endorsed by the original creators. SDK, sample and converter code is AGPL-3.0.