debug table in README

README.md

@@ -44,11 +44,12 @@ For Anaconda users
 ## Get pre-trained model
 
 Pre-trained model are available :
-| Geographic Area | Description                                                             | URL                                                                                  |
-|-----------------|-------------------------------------------------------------------------|--------------------------------------------------------------------------------------|
-| FR              | Model trained on the France populated places and area                   | [Download](https://projet.liris.cnrs.fr/hextgeo/files/trained_models/FR_MODEL_2.zip) |
-| GB              | Model trained on the England populated places and area                  | [Download](https://projet.liris.cnrs.fr/hextgeo/files/trained_models/GB_MODEL_2.zip) |
-| US              | Model trained on the United States of America populated places and area | [Download](https://projet.liris.cnrs.fr/hextgeo/files/trained_models/US_MODEL_2.zip) |
+
+| Geographic Area | Description                                                             | URL                                                                      |
+|-----------|-------------------------------------------------------------------------|--------------------------------------------------------------------------|
+| FR        | Model trained on the France populated places and area                   | https://projet.liris.cnrs.fr/hextgeo/files/trained_models/FR_MODEL_2.zip |
+| GB        | Model trained on the England populated places and area                  | https://projet.liris.cnrs.fr/hextgeo/files/trained_models/GB_MODEL_2.zip |
+| US        | Model trained on the United States of America populated places and area | https://projet.liris.cnrs.fr/hextgeo/files/trained_models/US_MODEL_2.zip |
 
 ## Load and use the model
 
@@ -104,6 +105,7 @@ Use the following command to generate the datasets for training your model.
 
     python3 generate_dataset.py <geonames_dataset> <wikipedia_dataset> <geonames_hierarchy_data>
 
+
 | Parameter       | Description                                                                                                                                          |
 |-----------------|------------------------------------------------------------------------------------------------------------------------------------------------------|
 | --cooc-sampling | Number of cooccurrence sampled for each place in the cooccurrence dataset                                                                            |
@@ -111,6 +113,7 @@ Use the following command to generate the datasets for training your model.
 | --adj-nside     | Healpix resolution where places within are considered adjacent                                                                                       |
 | --split-nside   | Size of the zone where the train/test split are done                                                                                                 |
 | --split-method  | [per_pair\|per_entity] Split each dataset based on places (place cannot exists in both train and test) or pairs(place can appears in train and test) |
+
 ### If you're in a hurry
 
 French Geonames, French Wikipedia cooccurence data, and their train/test splits datasets can be found here : [https://projet.liris.cnrs.fr/hextgeo/files/](https://projet.liris.cnrs.fr/hextgeo/files/)