---
title: autotrain-hhmleoom-68141137239
canonical_url: "https://www.modelscope.cn/models/AI-ModelScope/autotrain-hhmleoom-68141137239"
md_url: "https://www.modelscope.cn/models/AI-ModelScope/autotrain-hhmleoom-68141137239.md"
repository: AI-ModelScope/autotrain-hhmleoom-68141137239
last_updated: 2024-11-01
model_type:
  - led
architectures:
  - LEDForConditionalGeneration
parameters: 161.9M
tensor_type:
  - F32
library_name:
  - safetensors
  - pytorch
frameworks:
  - pytorch
language:
  - unk
downloads: 1866
stars: 0
tags:
  - autotrain
  - summarization
---

# autotrain-hhmleoom-68141137239

> autotrain-hhmleoom-68141137239 - AI-ModelScope 在 ModelScope 开源的模型。Model Trained Using AutoTrain

- **Repository**: AI-ModelScope/autotrain-hhmleoom-68141137239
- **Parameters**: 161.9M
- **Tags**: autotrain, summarization
- **Downloads**: 1866
- **Stars**: 0
- **Last updated**: 2024-11-01

Source: https://www.modelscope.cn/models/AI-ModelScope/autotrain-hhmleoom-68141137239

---

# Model Trained Using AutoTrain

- Problem type: Summarization
- Model ID: 68141137239
- CO2 Emissions (in grams): 69.9051

## Validation Metrics

- Loss: 0.796
- Rouge1: 37.229
- Rouge2: 25.158
- RougeL: 30.977
- RougeLsum: 34.945
- Gen Len: 107.979

## 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/MarketingHHM/autotrain-hhmleoom-68141137239
```