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README.md
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example_usage:
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library: HuggingFace transformers
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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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model = AutoModelForSequenceClassification.from_pretrained("salesken/query_wellformedness_score")
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with torch.no_grad():
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scores = model(**features).logits
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print(scores)
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intended_use_cases:
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- Content Creation: Validate the well-formedness of written content.
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- Educational Platforms: Students check the grammaticality of sentences.
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example_usage:
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library: HuggingFace transformers
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```python
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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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model = AutoModelForSequenceClassification.from_pretrained("salesken/query_wellformedness_score")
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with torch.no_grad():
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scores = model(**features).logits
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print(scores)
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```
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intended_use_cases:
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- Content Creation: Validate the well-formedness of written content.
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- Educational Platforms: Students check the grammaticality of sentences.
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