Ashishkr
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query_wellformedness_score

Text Classification

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Ashishkr commited on Aug 23, 2023

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092bbad

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1 Parent(s): b578004

Update README.md

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@@ -38,10 +38,13 @@ from transformers import AutoTokenizer, AutoModelForSequenceClassification
 tokenizer = AutoTokenizer.from_pretrained("salesken/query_wellformedness_score")
 model = AutoModelForSequenceClassification.from_pretrained("salesken/query_wellformedness_score")
 sentences = [
-    'what was the reason for everyone to leave the company',
-    'What was the reason behind everyone leaving the company',
-    # ... other sentences
 ]
 features = tokenizer(sentences, padding=True, truncation=True, return_tensors="pt")
 model.eval()
 with torch.no_grad():

 tokenizer = AutoTokenizer.from_pretrained("salesken/query_wellformedness_score")
 model = AutoModelForSequenceClassification.from_pretrained("salesken/query_wellformedness_score")
 sentences = [
+    "The quarterly financial report are showing an increase.",  # Incorrect
+    "Him has completed the audit for last fiscal year.",  # Incorrect
+    "Please to inform the board about the recent developments.",  # Incorrect
+    "The team successfully achieved all its targets for the last quarter.",  # Correct
+    "Our company is exploring new ventures in the European market."  # Correct
 ]
 features = tokenizer(sentences, padding=True, truncation=True, return_tensors="pt")
 model.eval()
 with torch.no_grad():