NERP to NER

model.py

@@ -86,15 +86,15 @@ models = {
         "interface": token_classification_interface,
         "pipe": pipeline(model="w11wo/indonesian-roberta-base-posp-tagger"),
     },
-    "NERP Tagging": {
-        "title": "NERP Tagging",
+    "NER Tagging": {
+        "title": "NER Tagging",
         "examples": [
             "Paris adalah ibukota dari negara Prancis.",
             "Kuasa hukum teamster berasal dari Edmonton.",
             "Jakarta, Indonesia akan menjadi bagian salah satu tempat yang akan didatangi.",
         ],
-        "output_label": "NERP Tagging",
-        "desc": "A NERP Tagging token-classification model based on the RoBERTa model. The model was originally the pre-trained Indonesian RoBERTa Base model, which is then fine-tuned on indonlu's POSP dataset consisting of tag-labelled news.",
+        "output_label": "NER Tagging",
+        "desc": "A NER Tagging token-classification model based on the RoBERTa model. The model was originally the pre-trained Indonesian RoBERTa Base model, which is then fine-tuned on indonlu's NERP dataset consisting of tag-labelled news.",
         "interface": token_classification_interface,
         "pipe": pipeline(model="w11wo/indonesian-roberta-base-nerp-tagger"),
     },