---
title: autotrain-hhmqatest23-68104137216
canonical_url: "https://www.modelscope.cn/models/AI-ModelScope/autotrain-hhmqatest23-68104137216"
md_url: "https://www.modelscope.cn/models/AI-ModelScope/autotrain-hhmqatest23-68104137216.md"
repository: AI-ModelScope/autotrain-hhmqatest23-68104137216
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: 1842
stars: 0
tags:
  - autotrain
  - summarization
---

# autotrain-hhmqatest23-68104137216

> autotrain-hhmqatest23-68104137216 - AI-ModelScope 在 ModelScope 开源的模型。Model Trained Using AutoTrain

- **Repository**: AI-ModelScope/autotrain-hhmqatest23-68104137216
- **Parameters**: 161.9M
- **Tags**: autotrain, summarization
- **Downloads**: 1842
- **Stars**: 0
- **Last updated**: 2024-11-01

Source: https://www.modelscope.cn/models/AI-ModelScope/autotrain-hhmqatest23-68104137216

---

# Model Trained Using AutoTrain

- Problem type: Summarization
- Model ID: 68104137216
- CO2 Emissions (in grams): 14.0376

## Validation Metrics

- Loss: 0.920
- Rouge1: 34.783
- Rouge2: 23.625
- RougeL: 29.390
- RougeLsum: 32.868
- Gen Len: 109.840

## 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-hhmqatest23-68104137216
```