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This is the model used for knowledge clustering where we feed title-body pair and the classifier predicts if the pair is valid or not.
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For further information, please refer to https://github.com/yctam/dstc10_track2_task2 for the Github repository.
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---
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This is the model used for knowledge clustering where we feed title-body pair and the classifier predicts if the pair is valid or not.
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For further information, please refer to https://github.com/yctam/dstc10_track2_task2 for the Github repository.
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## Usage
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def single_test(tokenizer, title_body_pair):
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result = tokenizer([title_body_pair], return_tensors="pt")
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result.to(device)
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model.eval()
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outputs = model(**result)
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predictions = outputs.logits.argmax(dim=-1)
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return True if predictions == 0 else False
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if __name__ == '__main__':
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sentence = "Can I check in anytime?"
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body = "Yes, 24 Hours Front Desk Avaliable."
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pair = (sentence, body)
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print(single_test(pair)) # Expect: True
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