tsukumi
5ca6e184d7
Fix: ONNX inference of BERT models fails in some Windows environments
2024-09-23 11:33:17 +09:00
tsukumi
b7cd512978
Fix: During ONNX inference, the tensor of the return value of the tokenizer is now obtained in Numpy's NDArray format to eliminate the dependency on PyTorch
2024-09-23 07:40:17 +09:00
tsukumi
dcca37b9a8
Add: Support for speech synthesis in English and Chinese for ONNX inference in Non-JP-Extra models
2024-09-23 07:14:44 +09:00
tsukumi
0e71d7ef7c
Fix: Specifying the device_map option in extract_bert_feature()
2024-09-17 05:22:30 +09:00
tsukumi
bdf20e8911
Refactor: Use bert_models.transfer_model()
2024-09-17 05:21:03 +09:00
litagin02
2274087da4
Fmt only (maybe)
2024-05-25 18:15:36 +09:00
tsukumi
44693e7d6b
Refactor: improve regular expression performance during NLP
...
Improve performance by pre-compiling regular expressions that are executed many times.
2024-05-12 17:53:30 +09:00
tsukumi
07d246b98b
Refactor: run "hatch run style:fmt"
2024-03-12 18:27:08 +00:00
tsukumi
483bc68d57
Refactor: unify invoke format of open() function
2024-03-12 18:00:51 +00:00
litagin02
dada0af2b6
Format import using isort --profile black --gitignore --lai 2 .
2024-03-11 12:37:51 +09:00
litagin02
c776c08235
Apply black formatter
2024-03-11 09:47:47 +09:00
tsukumi
9c233630ef
Refactor: don't keep models in bert_feature module for each language
...
BERT models and tokenizers are already stored and managed in the bert_models module and should not be stored here.
In addition, since there may be situations where the user would like to use cpu instead of mps for inference when using it as a library, the automatic switching process to mps was removed.
2024-03-10 14:18:57 +00:00
tsukumi
df68771651
Refactor: split style_bert_vits2.nlp.chinese package
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Configured so that the same public function is exported from the module with the same name for each language.
2024-03-08 09:04:40 +00:00
tsukumi
a672aeefd9
Fix: maintain compatibility with Python 3.9
2024-03-08 08:45:56 +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
