pytorch t5 text2text-generation en dataset:jeremyccollinsmpi/autotrain-data-inference_probability_2 transformers autotrain co2_eq_emissions autotrain_compatible



---
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
```