Update transformers.md

docs/analyzer/nlp_engines/transformers.md

@@ -208,7 +208,12 @@ The `ner_model_configuration` section contains the following parameters:
 - `low_confidence_score_multiplier`: A multiplier to apply to the score of entities with low confidence.
 - `low_score_entity_names`: A list of entity types to apply the low confidence score multiplier to.
 
-> Note: To be able to create the `model_to_presidio_entity_mapping` dictionary, it is advised to check which classes the model is able to predict. This can be found on the huggingface hub site for the model in some cases. In other, one can check the model's `config.json` uner `id2label`. For example, for `bert-base-NER-uncased`, it can be found here: https://huggingface.co/dslim/bert-base-NER-uncased/blob/main/config.json. Note that most NER models add a prefix to the class (e.g. `B-PER` for class `PER`). When creating the mapping, do not add the prefix.
+
+!!! note "Defining the entity mapping"
+    To be able to create the `model_to_presidio_entity_mapping` dictionary, it is advised to check which classes the model is able to predict. 
+    This can be found on the huggingface hub site for the model in some cases. In other, one can check the model's `config.json` uner `id2label`. 
+    For example, for `bert-base-NER-uncased`, it can be found here: https://huggingface.co/dslim/bert-base-NER-uncased/blob/main/config.json. 
+    Note that most NER models add a prefix to the class (e.g. `B-PER` for class `PER`). When creating the mapping, do not add the prefix.
 
 
 See more information on parameters on the [spacy-huggingface-pipelines Github repo](https://github.com/explosion/spacy-huggingface-pipelines#token-classification).