Update README.md

README.md

@@ -8,7 +8,7 @@ tags:
 
 ---
 
-# {MODEL_NAME}
+# {SetFit Sentiment Classifier}
 
 This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
 
@@ -19,16 +19,16 @@ This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentence
 Using this model becomes easy when you have [sentence-transformers](https://www.SBERT.net) installed:
 
 ```
-pip install -U sentence-transformers
+pip install setfit
 ```
 
 Then you can use the model like this:
 
 ```python
-from sentence_transformers import SentenceTransformer
+from setfit import SetFitModel
 sentences = ["This is an example sentence", "Each sentence is converted"]
 
-model = SentenceTransformer('{MODEL_NAME}')
+model = SetFitModel.from_pretrained("nixmaverick1997/app-setfit-classifier")
 embeddings = model.encode(sentences)
 print(embeddings)
 ```