Update README

README.md

@@ -9,6 +9,8 @@ tags:
 license: "mit"
 datasets:
 - DAGW
+widget:
+- text: "Chili Jensen, som bor på Danmarksgade 12, køber chilifrugter fra Netto."
 metrics:
 - f1
 ---
@@ -25,8 +27,8 @@ Here is an example on how to load the finetuned Ælæctra-uncased model for Name
 ```python
 from transformers import AutoTokenizer, AutoModelForTokenClassification
 
-tokenizer = AutoTokenizer.from_pretrained("Maltehb/-l-ctra_uncased_ner_dane")
-model = AutoModelForTokenClassification.from_pretrained("Maltehb/-l-ctra_uncased_ner_dane")
+tokenizer = AutoTokenizer.from_pretrained("Maltehb/-l-ctra-danish-electra-small-uncased-ner-dane")
+model = AutoModelForTokenClassification.from_pretrained("Maltehb/-l-ctra-danish-electra-small-uncased-ner-dane")
 ```
 
 ### Evaluation of current Danish Language Models