delete download script

downloadModel.py

@@ -1,25 +0,0 @@
-from transformers import AutoModelForSequenceClassification,AutoTokenizer
-
-# ##***********************************************************************************************************##
-# ###FOR SENTIMENT CLASSIFICATION
-# chkpt='distilbert-base-uncased-finetuned-sst-2-english'
-#
-# model=AutoModelForSequenceClassification.from_pretrained(chkpt)
-# tokenizer=AutoTokenizer.from_pretrained(chkpt)
-#
-# #save the pertrained model
-# model.save_pretrained('sentiment_classifier/')
-# tokenizer.save_pretrained('sentiment_classifier/')
-# ##***********************************************************************************************************##
-
-# # ##***********************************************************************************************************##
-# # ###FOR Zero Shot Text Classification
-# chkpt='valhalla/distilbart-mnli-12-1'
-#
-# model=AutoModelForSequenceClassification.from_pretrained(chkpt)
-# tokenizer=AutoTokenizer.from_pretrained(chkpt)
-#
-# #save the pertrained model
-# model.save_pretrained('zero_shot_clf/')
-# tokenizer.save_pretrained('zero_shot_clf/')
-# # ##***********************************************************************************************************##

sentiment_clf_helper.py

@@ -11,7 +11,7 @@ from transformers import AutoModelForSequenceClassification,AutoTokenizer
 chkpt='distilbert-base-uncased-finetuned-sst-2-english'
 model=AutoModelForSequenceClassification.from_pretrained(chkpt)
 tokenizer=AutoTokenizer.from_pretrained(chkpt)
-# tokenizer=AutoTokenizer.from_pretrained('sentiment_classifier/')
+
 
 def classify_sentiment(texts,model,tokenizer):
     """