readme update

README.md

@@ -1,7 +1,7 @@
 ## Cyclone Chinese NER
 
 This model provides simplified Chinese NER model based on pretrained model BERT (specifically BERT + CRF)
-Currently, we only support 8 general type of entities ("address", "company", "government", "name", "organization", "position", "scene")
+Currently, we only support 8 general type of entities ("address", "company", "government", "name", "organization", "position", "scene", "time")
 
 ### Usage
     from transformers import BertConfig
@@ -11,4 +11,4 @@ Currently, we only support 8 general type of entities ("address", "company", "go
     model_path = "cyclone/cyclone-ner"
 
     tokenizer = CNerTokenizer.from_pretrained(model_path, do_lower_case=True)
-    model = BertCrfForNer.from_pretrained(model_path, config=config)
+    model = BertCrfForNer.from_pretrained(model_path, config=config)