pytorch pegasus text2text-generation en dataset:retextly/autotrain-data-test transformers autotrain co2_eq_emissions autotrain_compatible
---
tags: autotrain
language: en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- retextly/autotrain-data-test
co2_eq_emissions: 134.3402063080293
---

# Model Trained Using AutoTrain

- Problem type: Summarization
- Model ID: 831226565
- CO2 Emissions (in grams): 134.3402063080293

## Validation Metrics

- Loss: 0.33837366104125977
- Rouge1: 89.9891
- Rouge2: 85.7247
- RougeL: 89.7421
- RougeLsum: 89.4872
- Gen Len: 30.1818

## 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/retextly/autotrain-test-831226565
```