Update README.md

README.md

@@ -4,32 +4,29 @@ tags:
 - sentence-transformers
 - feature-extraction
 - sentence-similarity
+- setfit classification
 
 ---
 
-# {MODEL_NAME}
+# {setfit classification model}
 
-This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.
+this is a setfit classifier which can be used for conversion or other , binary classification
 
 <!--- Describe your model here -->
 
 ## Usage (Sentence-Transformers)
 
-Using this model becomes easy when you have [sentence-transformers](https://www.SBERT.net) installed:
-
+Using this model becomes easy when you have SetFit installed, 
 ```
-pip install -U sentence-transformers
+pip install setfit
 ```
 
 Then you can use the model like this:
 
 ```python
-from sentence_transformers import SentenceTransformer
-sentences = ["This is an example sentence", "Each sentence is converted"]
-
-model = SentenceTransformer('{MODEL_NAME}')
-embeddings = model.encode(sentences)
-print(embeddings)
+from setfit import SetFitModel, SetFitTrainer
+model = SetFitModel.from_pretrained("nayan06/binary-classifier-conversion-intent-1.0")
+preds = model(["view details"])
 ```