tsukumi
9de6e04ad7
Add: Preparation for ONNX inference support ④
2024-09-17 13:25:17 +09:00
litagin02
38adf43924
Fix: colab torchvision bug, explicit torchaudio version
2024-09-09 15:31:30 +09:00
litagin02
048d0b6c42
Change zero_model to null_model, docs
2024-06-16 17:24:50 +09:00
litagin02
b1970aa287
Bump ver
2024-06-14 15:45:53 +09:00
litagin02
1b656b37fa
Feat: koharune-ami
2024-05-26 17:17:32 +09:00
litagin02
8976a3ed2f
Refactor: Use PathConfig and pathlib instead of paths.yml loading
2024-05-25 10:25:22 +09:00
litagin02
76be727b2e
Bump ver
2024-03-16 18:22:35 +09:00
litagin02
432edcc52b
Bump ver, rename configs_jp_extra to config_jp_extra for consistency
2024-03-15 12:34:54 +09:00
litagin02
c37893a76b
Add version suffix dev0
2024-03-13 11:46:56 +09:00
litagin02
c776c08235
Apply black formatter
2024-03-11 09:47:47 +09:00
tsukumi
a79b1910fb
Add: use hatch to build style-bert-vits2 as a library
2024-03-09 18:38:16 +00:00
tsukumi
8fad591ac0
Fix: backported StrEnum from Python 3.11
2024-03-08 11:59:14 +00:00
tsukumi
fac4f9a8ab
Refactor: rename text_processing to nlp
...
"text_processing" is clearer, but the import statement is longer.
"nlp" is shorter and makes it clear that it is natural language processing.
2024-03-08 06:20:44 +00:00
tsukumi
8add1b4202
Fix: maintain compatibility with Python 3.9
2024-03-08 06:14:50 +00:00
tsukumi
da7747cc67
Merge branch 'dev' of github.com:litagin02/Style-Bert-VITS2
2024-03-08 05:49:52 +00:00
tsukumi
c3c0dd8b32
Refactor: add style_bert_vits2/text_processing/bert_models.py to hold loaded BERT models/tokenizer and replace all from_pretrained() to load_model/load_tokenizer
2024-03-07 03:31:38 +00:00
tsukumi
46c83cf89a
Refactor: moved the user dictionary implementation ported from VOICEVOX to style_bert_vits2/text_processing/japanese/user_dict/
2024-03-06 22:16:42 +00:00
tsukumi
918d168ae7
Refactor: rewrote Japanese natural language processing code imported from server_editor.py
...
The logic has not been changed, only renaming, splitting and moving modules on a per-function basis.
Existing code will be left in place for the time being to avoid breaking the training code, which is not subject to refactoring this time.
2024-03-06 20:56:21 +00:00
