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README.md
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## Model description
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## Intended uses & limitations
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## Training and evaluation data
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## Model description
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Custom data generated labeling text according to these three categories.
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These three categories are the subcategories of Pump - essentially when a user asks a question and expects an answer in response
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- Value: a slot value or a calculation
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- Clarification: Asking for further information on a previous answer
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- Testing: Testing for knowledge of facts and definitions
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Takes a user input of string text and classifies it according to one of three categories.
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## Intended uses & limitations
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from transformers import pipeline
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classifier = pipeline("text-classification",model="mp6kv/pump_intent_test")
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output = classifier("What is the value of the length of the blue object?")
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score = output[0]['score']
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label = output[0]['label']
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## Training and evaluation data
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