float32/README.en.md

日本語

SBV2 Core ML shared model: original FP32 (float32)

This folder contains the original FP32 (float32) shared BERT and Open JTalk dictionary, approximately 1.52 GB. BERT uses the original unquantized FP32 weights. BERT computation and tensor interfaces remain FP32. Supply a separate compatible voice model. Both shared variants use the same voice models.

Download and use

Choose this variant's download.json from the model selection table. If downloading folders, select this float32/ root in the sample's モデル設定 → 共通モデル, then press モデルを準備. For the SDK, pass its bert/ and dictionary/ subfolders and a separate voice folder. Compilation caches require additional storage.

Attribution and license

BERT derives from Kyoto University's NLP group's Japanese DeBERTa. See this folder's LICENSE.md for CC BY-SA 4.0 terms and dictionary/COPYING for separate dictionary terms. Provenance is in provenance.json; file hashes are in checksums.json. This unofficial conversion is not endorsed by the original authors.

This is the original converted Core ML BERT without the INT8 weight quantization, not the PyTorch checkpoint.