Update README.md

README.md

@@ -15,9 +15,8 @@ Comparing each sentence of sentences1 array to the corrosponding sentence of sen
 from sentence_transformers import CrossEncoder
 from bento import fwdproxy
 
-#device = "cuda:0" if torch.cuda.is_available() else "cpu"
-with fwdproxy():
-    model = CrossEncoder('abbasgolestani/ag-nli-DeTS-sentence-similarity-v1')
+
+model = CrossEncoder('abbasgolestani/ag-nli-DeTS-sentence-similarity-v1')
 
 # Two lists of sentences
 sentences1 = ['I am honored to be given the opportunity to help make our company better',
@@ -29,9 +28,7 @@ sentences2 = ['I am hopeful about the future of our company',
               'Definitely our company vision will be the next breakthrough to change the world and I’m so happy and proud to work here']
 
 pairs = zip(sentences1,sentences2)
-#pairs = zip(premise_NOT_entail,hypothesis_NOT_entail)
 list_pairs=list(pairs)
-#print(list_pairs)
 
 scores1 = model.predict(list_pairs, show_progress_bar=False)
 print(scores1)