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--- |
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tags: autotrain |
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language: en |
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widget: |
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- text: "I love AutoTrain 🤗" |
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datasets: |
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- jeremyccollinsmpi/autotrain-data-inference_probability_2 |
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co2_eq_emissions: 0.02920886926438328 |
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--- |
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# Description |
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The input structure is: |
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summarize: [text]. hypothesis: [hypothesis] , and the output is 0 (hypothesis is not supported) or 1 (hypothesis is supported). |
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This tests whether a hypothesis is true given the preceding text. Currently the model is trained on banking chatbot intent data, such as: |
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summarize: How old do my kids need to be to use your service?. hypothesis: asking about an age limit |
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Output: 1 |
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# Model Trained Using AutoTrain |
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- Problem type: Summarization |
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- Model ID: 840226804 |
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- CO2 Emissions (in grams): 0.02920886926438328 |
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## Validation Metrics |
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- Loss: 0.09617297351360321 |
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- Rouge1: 91.2874 |
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- Rouge2: 0.0 |
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- RougeL: 91.2874 |
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- RougeLsum: 91.4174 |
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- Gen Len: 2.4915 |
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## Usage |
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You can use cURL to access this model: |
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``` |
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$ 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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``` |
