pytorch mt5 text2text-generation ja dataset:kzkymn/autotrain-data-livedoor_news_summarization transformers autotrain co2_eq_emissions autotrain_compatible
---
tags: autotrain
language: ja
widget:
- text: "I love AutoTrain 🤗"
datasets:
- kzkymn/autotrain-data-livedoor_news_summarization
co2_eq_emissions: 1.854603770877255
---

# Model Trained Using AutoTrain

- Problem type: Summarization
- Model ID: 1065437005
- CO2 Emissions (in grams): 1.854603770877255

## Validation Metrics

- Loss: 2.017435312271118
- Rouge1: 23.4405
- Rouge2: 10.6415
- RougeL: 23.1304
- RougeLsum: 23.0871
- Gen Len: 16.8351

## 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/kzkymn/autotrain-livedoor_news_summarization-1065437005
```