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  datasets: google_wellformed_query
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  ---
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- This model evaluates the wellformedness (non-fragment, grammatically correct) score of a sentence.
 
 
 
 
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  ```
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  from transformers import AutoTokenizer, AutoModelForSequenceClassification
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  tokenizer = AutoTokenizer.from_pretrained("salesken/query_wellformedness_score")
 
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  datasets: google_wellformed_query
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  ---
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+ This model evaluates the wellformedness (non-fragment, grammatically correct) score of a sentence. Model is case-sensitive and penalises for incorrect case and grammar as well.
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+ ['She is presenting a paper tomorrow','she is presenting a paper tomorrow','She present paper today']
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+
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+ [[0.8917],[0.4270],[0.0134]]
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  ```
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  from transformers import AutoTokenizer, AutoModelForSequenceClassification
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  tokenizer = AutoTokenizer.from_pretrained("salesken/query_wellformedness_score")