Update README.md

README.md

@@ -11,6 +11,9 @@ datasets:
 - software-si/horeca-nli
 pipeline_tag: text-classification
 library_name: sentence-transformers
+license: apache-2.0
+language:
+- en
 ---
 
 # CrossEncoder based on cross-encoder/nli-deberta-v3-base
@@ -50,6 +53,7 @@ Then you can load this model and run inference.
 ```python
 from sentence_transformers import CrossEncoder
 
+
 # Download from the 🤗 Hub
 model = CrossEncoder("software-si/kitchen-nli")
 # Get scores for pairs of texts
@@ -63,6 +67,9 @@ pairs = [
 scores = model.predict(pairs)
 print(scores.shape)
 # (5, 3)
+label_mapping = ['contradiction', 'entailment', 'neutral']
+
+
 ```
 
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