Update README.md

README.md

@@ -1,3 +1,15 @@
+---
+license: apache-2.0
+language:
+- en
+metrics:
+- accuracy
+base_model:
+- google-bert/bert-large-cased
+pipeline_tag: token-classification
+tags:
+- code
+---
 This model is used to tag the tokens in an input sequence with information about the different signs of syntactic complexity that they contain. For more details, please see Chapters 2 and 3 of my thesis (https://rj3vans.github.io/Evans2020_SentenceSimplificationForTextProcessing.pdf.
 
 It was derived using code written by Dr. Le An Ha at the University of Wolverhampton.
@@ -43,5 +55,4 @@ predictions = torch.argmax(outputs, dim=2)
 print([(token, label_list[prediction]) for token, prediction in zip(tokens, predictions[0].tolist())])   
 ~~~
                       
-======================================================================
-
+======================================================================