tuna2134
1785e81509
fix
2026-07-23 15:59:17 +09:00
tuna2134
fd72a19384
bump
2026-07-23 12:06:17 +09:00
tuna2134
4f3bcfd252
fix
2026-07-23 11:33:43 +09:00
litagin02
c51c80fe1a
Ver 2.7.0 maybe
2025-08-24 11:27:27 +09:00
litagin02
4859d64e9f
Change onnxsim to onnxsim-prebuilt
2025-08-24 09:40:38 +09:00
tsukumi
c1fce3fec7
Improve: Make it possible to convert BERT language models to FP16
2024-12-19 07:16:59 +09:00
tsukumi
4a92a1abad
Fix: Missing onnxsim dependency
2024-11-13 10:50:44 +09:00
tsukumi
f135a79316
Fix: Missing onnx dependency
2024-11-13 10:43:58 +09:00
tsukumi
f9607ad891
Fix: Omitted consideration of macOS support
2024-09-23 11:10:41 +09:00
tsukumi
fe253611d3
Fix: nltk to 3.8.1 or lower
...
Due to reports that updating nltk to 3.8.2 or later significantly slows down learning, including English.
2024-09-23 06:22:47 +09:00
tsukumi
b95420325b
Improve: Changed PyTorch to an optional dependency when used style_bert_vits2 as a library
...
ONNXRuntime has relied on CUDA 12.x / cuDNN 9.x by default since v1.19.0, while PyTorch finally supports cuDNN 9 since v2.4.0.
Therefore, unless the pinning of torch<2.4 is eliminated, CUDA cannot be used with the latest version of ONNXRuntime.
2024-09-17 17:56:59 +09:00
tsukumi
eede796c4e
Add: Preparation for ONNX inference support ①
2024-09-17 06:53:11 +09:00
tsukumi
80dd6dbc22
Improve: Use the device_map option in transformers to load BERT models directly to the GPU
2024-09-17 05:22:06 +09:00
litagin02
e8367cc4e2
Update requirements-infer.txt
2024-07-27 12:31:53 +09:00
litagin02
a1fcb433e7
Fix numpy<2
2024-06-17 21:49:00 +09:00
litagin02
52bb5dc56d
Fix: require numpy<2 for numpy major version up
2024-06-17 06:54:50 +09:00
litagin02
f80846b223
Fix infer req and not to use virtualenv
2024-06-01 14:08:56 +09:00
litagin02
e66074c243
Fix: add torch to req
2024-05-29 07:06:00 +09:00
litagin02
9625014184
Feat: use uv for bat installer
2024-05-29 06:53:21 +09:00
