Update README.md

README.md

@@ -4,7 +4,7 @@ datasets:
 - banking77
 ---
 
-# tweets_model
+# Social Media Sentiment Analysis Model
 This is a fine-tuned version of the Distilbert model. It's best suited for sentiment-analysis.
 
 ## Model Description
@@ -20,7 +20,7 @@ You can use this model directly with a pipeline for text generation:
 ```python
 >>>from transformers import pipeline
 
->>> model_name = "Kwaku/tweets_model"
+>>> model_name = "Kwaku/social_media_sa"
 >>> generator = pipeline("sentiment-analysis", model=model_name)
 >>> result = generator("I like this model")
 >>> print(result)