Ashishkr
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query_wellformedness_score

Text Classification

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Ashishkr commited on Apr 11, 2021

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@@ -11,7 +11,7 @@ This model evaluates the wellformedness (non-fragment, grammatically correct)  s
 ['She is presenting a paper tomorrow','she is presenting a paper tomorrow','She present paper today']
 [[0.8917],[0.4270],[0.0134]]
-```
 from transformers import AutoTokenizer, AutoModelForSequenceClassification
 tokenizer = AutoTokenizer.from_pretrained("salesken/query_wellformedness_score")
 model = AutoModelForSequenceClassification.from_pretrained("salesken/query_wellformedness_score")

 ['She is presenting a paper tomorrow','she is presenting a paper tomorrow','She present paper today']
 [[0.8917],[0.4270],[0.0134]]
+```python
 from transformers import AutoTokenizer, AutoModelForSequenceClassification
 tokenizer = AutoTokenizer.from_pretrained("salesken/query_wellformedness_score")
 model = AutoModelForSequenceClassification.from_pretrained("salesken/query_wellformedness_score")