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README.md
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language: en
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license: apache-2.0
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tags:
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library_name: transformers
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pipeline_tag: text-classification
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---
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# Question Classification Model for Bank Queries
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result = classifier(query)
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print(result)
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# Output example: [{'label': 'False', 'score': 0.8767889142036438}] i.e it's not a question.
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language: en
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license: apache-2.0
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tags:
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- text-classification
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- banking
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- intent-detection
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- transformers
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library_name: transformers
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pipeline_tag: text-classification
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model_type: bert
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metrics:
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- accuracy
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- recall
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- precision
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base_model:
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- google-bert/bert-base-uncased
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---
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# Question Classification Model for Bank Queries
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result = classifier(query)
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print(result)
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# Output example: [{'label': 'False', 'score': 0.8767889142036438}] i.e it's not a question.
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