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The input structure is:

summarize: [text]. hypothesis: [hypothesis] , and the output is 0 (hypothesis is not supported) or 1 (hypothesis is supported).

This tests whether a hypothesis is true given the preceding text. Currently the model is trained on banking chatbot intent data, such as:

summarize: How old do my kids need to be to use your service?. hypothesis: asking about an age limit

Output: 1

Model Trained Using AutoTrain

  • Problem type: Summarization
  • Model ID: 840226804
  • CO2 Emissions (in grams): 0.02920886926438328

Validation Metrics

  • Loss: 0.09617297351360321
  • Rouge1: 91.2874
  • Rouge2: 0.0
  • RougeL: 91.2874
  • RougeLsum: 91.4174
  • Gen Len: 2.4915


You can use cURL to access this model:

$ curl -X POST -H "Authorization: Bearer YOUR_HUGGINGFACE_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoTrain"}' https://api-inference.huggingface.co/jeremyccollinsmpi/autotrain-inference_probability_2-840226804
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