diff --git a/docs/models.md b/docs/models.md
index 1c2eff8fbc34789baa68a24917e0ee48c65dacf1..f2d7696d3d2aeda1bb0ed465f48c561a14436a35 100644
--- a/docs/models.md
+++ b/docs/models.md
@@ -5,17 +5,10 @@ COMBO provides pre-trained models for:
 - enhanced dependency parsing trained on IWPT 2020 shared task [data](https://universaldependencies.org/iwpt20/data.html) ([Bouma et al. 2020](https://www.aclweb.org/anthology/2020.iwpt-1.16.pdf)).
 
 ## Pre-trained models
-<!---
-All **pre-trained models** for different languages and their **evaluation results**  are listed in the spreadsheets: [UD-trained COMBO models](https://docs.google.com/spreadsheets/d/1WFYc2aLRa1jw7le030HOacv9fc4zmtqiZtRQY6gl5mc/edit?usp=sharing) and [enhanced COMBO models](https://docs.google.com/spreadsheets/d/1WFYc2aLRa1jw7le030HOacv9fc4zmtqiZtRQY6gl5mc/edit#gid=1757180324).
--->
 **Morphosyntactic prediction models** trained on the selected UD treebanks version 2.7 and their **evaluation results** are listed in [Model performance (UD2.7)](https://gitlab.clarin-pl.eu/syntactic-tools/combo/-/blob/master/docs/performance.md) table.
 
 **Morphosyntactic prediction models** trained on the seleted UD treebanks version 2.5 and **enhanced parsing models** are listed in the spreadsheets: [UD2.5-trained COMBO models](https://docs.google.com/spreadsheets/d/1WFYc2aLRa1jw7le030HOacv9fc4zmtqiZtRQY6gl5mc/edit#gid=0) and [enhanced COMBO models](https://docs.google.com/spreadsheets/d/1WFYc2aLRa1jw7le030HOacv9fc4zmtqiZtRQY6gl5mc/edit#gid=1757180324).
 
-<!--- 
-Please notice that the name in the brackets matches the name used in [Automatic Download](models.md#Automatic download).)
--->
-
 ### License
 Models are distributed under the same license as datasets used for their training.
 
@@ -25,9 +18,6 @@ See [Universal Dependencies v2.7 License Agreement](https://lindat.mff.cuni.cz/r
 ## Automatic download
 The pre-trained models can be automatically downloaded  with the `from_pretrained` method in the Python mode. Select the model name of a pre-trained model (see the column **Model name** in [Model performance (UD2.7)](https://gitlab.clarin-pl.eu/syntactic-tools/combo/-/blob/master/docs/performance.md), [UD2.5-trained COMBO models](https://docs.google.com/spreadsheets/d/1WFYc2aLRa1jw7le030HOacv9fc4zmtqiZtRQY6gl5mc/edit#gid=0) and [enhanced COMBO models](https://docs.google.com/spreadsheets/d/1WFYc2aLRa1jw7le030HOacv9fc4zmtqiZtRQY6gl5mc/edit#gid=1757180324)) and pass the name as an attribute of the `from_pretrained` method:
 
-<!---
-[pre-trained models](http://mozart.ipipan.waw.pl/~mklimaszewski/models/)  and pass the name as the attribute to `from_pretrained` method:
----> 
 ```python
 from combo.predict import COMBO
 
@@ -35,21 +25,10 @@ nlp = COMBO.from_pretrained("polish-herbert-base")
 ```
 If the model name doesn't match any model on the pre-trained model lists, COMBO looks for a model in local env.
 
-<!---
- of [pre-trained models](c), COMBO looks for a model in the local env.
---->
-
 ## Manual download
 
 If you want to use COMBO in the command-line mode, you need to manually download a pre-trained model. The pre-trained models can be manually downloaded to a local disk with the `wget` package.  The links to the pre-trained models are listed in the column **Model name** in [Model performance (UD2.7)](https://gitlab.clarin-pl.eu/syntactic-tools/combo/-/blob/master/docs/performance.md), or **Model link** in [UD2.5-trained COMBO models](https://docs.google.com/spreadsheets/d/1WFYc2aLRa1jw7le030HOacv9fc4zmtqiZtRQY6gl5mc/edit#gid=0) and [enhanced COMBO models](https://docs.google.com/spreadsheets/d/1WFYc2aLRa1jw7le030HOacv9fc4zmtqiZtRQY6gl5mc/edit#gid=1757180324).
 
-<!---
-from [here](http://mozart.ipipan.waw.pl/~mklimaszewski/models/).
-
-
-If you want to use the console version of COMBO, you need to download a pre-trained model manually:
---->
-
 ```bash
 wget http://mozart.ipipan.waw.pl/~mklimaszewski/models/polish-herbert-base.tar.gz
 ```