Update README.md

README.md

@@ -19,14 +19,23 @@ pipeline_tag: text-classification
 The ImranzamanML/GEFS-language-detector is a fined tuned model by using the dataset of papluca [Language Identification](https://huggingface.co/datasets/papluca/language-identification#additional-information) and the base model [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) .
 
 This language detection model demonstrated exceptional performance, achieving an impressive F1 score close to 100%. This result significantly exceeds typical benchmarks and underscores the model's accuracy and reliability in identifying languages.
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+## Predicted output:
+
+Model will return the language detection in the language codes like: 
+- de as German
+- en as English
+- fr as French
+- es as Spanish
+  
 ## Supported languages
 Currently this model support 4 languages but in future more languages will be added. 
 
 Following languages supported by the model:
-- german (de)
-- english (en)
-- french (fr)
-- spanish (es)
+- German (de)
+- English (en)
+- French (fr)
+- Spanish (es)
 
 # Use a pipeline as a high-level helper
 
@@ -75,6 +84,9 @@ model = AutoModelForSequenceClassification.from_pretrained("ImranzamanML/GEFS-la
     fr	       0.9995	   0.9996	0.9996	 0.9996
     es	       0.9994	   0.9996	0.9995	 0.9996
 
+
+
+
 ## About Author
 
 **Name**: Muhammad Imran Zaman