Update README.md

README.md

@@ -10,6 +10,8 @@ model-index:
   results: []
 datasets:
 - valurank/Adult-content-dataset
+language:
+- en
 ---
 
 # bert-base-uncased-Adult-Text-Classifier
@@ -66,4 +68,4 @@ The following hyperparameters were used during training:
 - Datasets 2.16.1
 - Tokenizers 0.15.0
 
-This model card provides an overview of the model's architecture, training procedure, and performance metrics. It serves as a reference for users interested in utilizing or further understanding the capabilities and limitations of the bert-base-uncased-Adult-Text-Classifier model.
+This model card provides an overview of the model's architecture, training procedure, and performance metrics. It serves as a reference for users interested in utilizing or further understanding the capabilities and limitations of the bert-base-uncased-Adult-Text-Classifier model.