Update README.md

README.md

@@ -33,7 +33,7 @@ Training images were resized with a fixed height of 128 pixels, keeping the orig
 The model achieves the following results:
 
 | set   | CER (%)    | WER (%)   |
-| ----- | ---------- | --------- | 
+| ----- | ---------: | --------: | 
 | train | 2.33       | 5.62      |
 | val   | 8.20       | 24.75     |
 | test  | 7.81       | 23.3      |
@@ -42,13 +42,12 @@ Results improve on validation and test sets when PyLaia is combined with a 6-gra
 The language model is trained on [this text corpus](https://www.nb.no/sprakbanken/en/resource-catalogue/oai-nb-no-sbr-73/) published by the National Library of Norway.
 
 | set   | CER (%)    | WER (%)   |
-| ----- | ---------- | --------- | 
+| ----- | ---------: | --------: | 
 | train | 2.62       | 6.13      |
 | val   | 7.01       | 19.75     |
 | test  | 6.75       | 18.22     |
 
-
-## How to use
+## How to use?
 
 Please refer to the [documentation](https://atr.pages.teklia.com/pylaia/).