readme: 
  
  
  ---
  tags: autotrain
  language: en
  widget:
  - text: "I love AutoTrain 🤗"
  datasets:
  - jeremyccollinsmpi/autotrain-data-inference_probability_2
  co2_eq_emissions: 0.02920886926438328
  ---
  
  # Description
  
  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
  
  ## Usage
  
  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
  ```