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docs: fix hub table typo #803

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Aug 10, 2022
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docs: fix hub table typo #803

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24 changes: 12 additions & 12 deletions .github/README-exec/onnx.readme.md
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Expand Up @@ -13,18 +13,18 @@ The introduction of the CLIP model [can be found here](https://openai.com/blog/c

`ViT-B-32::openai` is used as the default model. To use specific pretrained models provided by `open_clip`, please use `::` to separate model name and pretrained weight name, e.g. `ViT-B-32::laion2b_e16`. Please also note that **different models give different sizes of output dimensions**.

| Model | ONNX | Output dimension |
|---------------------------------------|------|------------------|
| RN50 | ✅ | 1024 |
| RN101 | ✅ | 512 |
| RN50x4 | ✅ | 640 |
| RN50x16 | ✅ | 768 |
| RN50x64 | ✅ | 1024 |
| ViT-B-32 | ✅ | 512 |
| ViT-B-16 | ✅ | 512 |
| ViT-B-lus-240 | ✅ | 640 |
| ViT-L-14 | ✅ | 768 |
| ViT-L-14@336px | ✅ | 768 |
| Model | ONNX | Output dimension |
|-------------------|------|------------------|
| RN50 | ✅ | 1024 |
| RN101 | ✅ | 512 |
| RN50x4 | ✅ | 640 |
| RN50x16 | ✅ | 768 |
| RN50x64 | ✅ | 1024 |
| ViT-B-32 | ✅ | 512 |
| ViT-B-16 | ✅ | 512 |
| ViT-B-16-plus-240 | ✅ | 640 |
| ViT-L-14 | ✅ | 768 |
| ViT-L-14-336 | ✅ | 768 |

✅ = First class support

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4 changes: 2 additions & 2 deletions .github/README-exec/torch.readme.md
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Expand Up @@ -23,9 +23,9 @@ With advances of ONNX runtime, you can use `CLIPOnnxEncoder` (see [link](https:/
| RN50x64 | ✅ | 1024 |
| ViT-B-32 | ✅ | 512 |
| ViT-B-16 | ✅ | 512 |
| ViT-B-lus-240 | ✅ | 640 |
| ViT-B-16-plus-240 | ✅ | 640 |
| ViT-L-14 | ✅ | 768 |
| ViT-L-14@336px | ✅ | 768 |
| ViT-L-14-336 | ✅ | 768 |
| M-CLIP/XLM_Roberta-Large-Vit-B-32 | ✅ | 512 |
| M-CLIP/XLM-Roberta-Large-Vit-L-14 | ✅ | 768 |
| M-CLIP/XLM-Roberta-Large-Vit-B-16Plus | ✅ | 640 |
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