EngineX-Iluvatar/enginex-bi_series-vc-cnn
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Merge branch 'main' of http://36.103.238.188:980/EngineX-Iluvatar/enginex-bi_series-vc-cnn into feat/v0

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zhousha
2025-08-22 18:10:11 +08:00
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@@ -54,8 +54,6 @@ print(response.json())
| https://www.modelscope.cn/models/google/vit-base-patch16-224 | ViT（Vision Transformer） | 成功 | 29.3333% | 40.0226 | 29.3333% | 1.1306 | 249992 |
| https://www.modelscope.cn/models/microsoft/beit-base-patch16-224-pt22k-ft22k | BEiT（BERT Pre-training of Image Transformers） | 成功 | 34.0000% | 23.7485 | 34.0000% | 0.9773 | 249537 |
| https://www.modelscope.cn/models/microsoft/swinv2-tiny-patch4-window16-256 | Swin Transformer V2（基于Swin Transformer） | 成功 | 29.3333% | 13.8379 | 29.3333% | 1.0331 | 249557 |
| https://www.modelscope.cn/models/timm/mobilenetv3_small_100.lamb_in1k | MobileNetV3（Google 提出的 MobileNet 系列第三代） | 失败 | | | | | 250057 |
| https://www.modelscope.cn/models/timm/resnet50.a1_in1k | ResNet（Residual Network | 失败 | | | | | 250004 |
| https://www.modelscope.cn/models/facebook/deit-small-patch16-224 | DeiT（Data-efficient Image Transformer）由 Facebook AI 提出 | 成功 | 29.3333% | 40.5675 | 29.3333% | 3.2749 | 250034 |
| https://www.modelscope.cn/models/microsoft/dit-base-finetuned-rvlcdip | DiT(Document Image Transformer) | 成功 | 0.0000% | 35.5122 | 0.0000% | 1.0823 | 250035 |
| https://www.modelscope.cn/models/microsoft/cvt-13 | CvT(Convolutional Vision Transformer) | 成功 | 29.3333% | 27.1214 | 29.3333% | 1.7240 | 250039 |