Update README.md

README.md

@@ -36,7 +36,7 @@ model-index:
       type: accuracy
       value: 0.979997105690534
 widget:
-- "Jag heter Peter Petersson och jag jobbar på Skatteverket."
+- "Jag heter Peter Petersson och jag jobbar på Skatteverket. Jag bor i Uppsala."
 inference:
   parameters:
     aggregation_strategy: "first"
@@ -57,7 +57,10 @@ It achieves the following results on the evaluation set:
 
 ## Model description
 
-Finetuned the model from [KB/bert-base-swedish-cased](https://huggingface.co/KB/bert-base-swedish-cased) for Swedish NER task.
+Finetuned the model from [KB/bert-base-swedish-cased](https://huggingface.co/KB/bert-base-swedish-cased) for Swedish NER task. The model can classify three categories:
+- PER (person names)
+- LOC (Location)
+- ORG (Organization)
 
 ## Intended uses & limitations