Load a language model and decode with it during evaluation

Based on !346 (merged)

Closes #252 (closed)

docs/usage/predict/index.md

@@ -166,14 +166,13 @@ It will create the following JSON file named after the image and a GIF showing a
 
 This example assumes that you have already [trained a language model](../train/language_model.md).
 
-Note that:
-
-- the `weight` parameter defines how much weight to give to the language model. It should be set carefully (usually between 0.5 and 2.0) as it will affect the quality of the predictions.
-- linebreaks are treated as spaces by language models, as a result predictions will not include linebreaks.
+!!! note
+    - the `weight` parameter defines how much weight to give to the language model. It should be set carefully (usually between 0.5 and 2.0) as it will affect the quality of the predictions.
+    - linebreaks are treated as spaces by language models, as a result predictions will not include linebreaks.
 
 #### Language model at character level
 
-First, update the `parameters.yml` file obtained during DAN training.
+Update the `parameters.yml` file obtained during DAN training.
 
 ```yaml
 parameters:
@@ -185,8 +184,6 @@ parameters:
     weight: 0.5
 ```
 
-Note that the `weight` parameter defines how much weight to give to the language model. It should be set carefully (usually between 0.5 and 2.0) as it will affect the quality of the predictions.
-
 Then, run this command:
 
 ```shell