tuna2134
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b8ce11605c
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fix
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2026-07-20 21:25:49 +09:00 |
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tuna2134
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0c2be00f0a
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ok
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2026-07-20 21:08:44 +09:00 |
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tsukumi
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db0acd7b5f
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Add: Support for ONNX inference and ONNX conversion of Non-JP-Extra models
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2024-09-23 05:59:12 +09:00 |
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tsukumi
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cc1d6120fe
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Fix: Default value of False for compatibility with older models where the HyperParameters.data.use_jp_extra field does not exist
JP-Extra models always have use_jp_extra=True, but non-JP-Extra models do not always.
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2024-09-23 05:26:19 +09:00 |
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litagin02
|
2274087da4
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Fmt only (maybe)
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2024-05-25 18:15:36 +09:00 |
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litagin02
|
432edcc52b
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Bump ver, rename configs_jp_extra to config_jp_extra for consistency
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2024-03-15 12:34:54 +09:00 |
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litagin02
|
b3cc705caa
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Fix: add use_jp_extra parameter to config.json (for non-jp-extra training)
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2024-03-11 17:51:55 +09:00 |
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litagin02
|
42ee7d7608
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Fix: ensure encoding utf-8
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2024-03-11 09:27:36 +09:00 |
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tsukumi
|
859d940916
|
Fix: failed to start training
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2024-03-10 19:15:24 +00:00 |
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tsukumi
|
a84783a6cc
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Refactor: replace utils.HParams with HyperParameters Pydantic model
HyperParameters is largely a drop-in replacement for utils.HParams, which ensures type safety for hyper-parameters.
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2024-03-08 15:52:37 +00:00 |
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tsukumi
|
7f0b252806
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Refactor: add Pydantic model representing hyper-parameters of Style-Bert-VITS2 model
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2024-03-08 12:49:11 +00:00 |
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