docs: fix hub table typo (#803)

jina-ai · Aug 10, 2022 · b4fb0dd · b4fb0dd
1 parent bb2c142
commit b4fb0dd
Show file tree

Hide file tree

Showing 2 changed files with 14 additions and 14 deletions.
diff --git a/.github/README-exec/onnx.readme.md b/.github/README-exec/onnx.readme.md
@@ -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 
 

diff --git a/.github/README-exec/torch.readme.md b/.github/README-exec/torch.readme.md
@@ -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              |