---
title: autotrain-sumitupv3-60042134308
canonical_url: "https://www.modelscope.cn/models/AI-ModelScope/autotrain-sumitupv3-60042134308"
md_url: "https://www.modelscope.cn/models/AI-ModelScope/autotrain-sumitupv3-60042134308.md"
repository: AI-ModelScope/autotrain-sumitupv3-60042134308
last_updated: 2024-11-21
model_type:
  - bart
architectures:
  - BartForConditionalGeneration
library_name:
  - pytorch
frameworks:
  - pytorch
language:
  - unk
inference_backends:
  - "deploy_task text/emb"
  - "vllm 0.9.2"
downloads: 1708
stars: 0
tags:
  - autotrain
  - summarization
---

# autotrain-sumitupv3-60042134308

> autotrain-sumitupv3-60042134308 - AI-ModelScope 在 ModelScope 开源的模型。Model Trained Using AutoTrain

AI-ModelScope/autotrain-sumitupv3-60042134308 是 ModelScope 魔搭社区上的机器学习模型，可用 deploy_task text/emb、vllm 0.9.2 部署。

- **Repository**: AI-ModelScope/autotrain-sumitupv3-60042134308
- **Inference backends**: deploy_task text/emb, vllm 0.9.2
- **Tags**: autotrain, summarization
- **Downloads**: 1708
- **Stars**: 0
- **Last updated**: 2024-11-21

Source: https://www.modelscope.cn/models/AI-ModelScope/autotrain-sumitupv3-60042134308

---

# Model Trained Using AutoTrain

- Problem type: Summarization
- Model ID: 60042134308
- CO2 Emissions (in grams): 0.5913

## Validation Metrics

- Loss: 1.867
- Rouge1: 41.418
- Rouge2: 19.212
- RougeL: 28.285
- RougeLsum: 37.970
- Gen Len: 62.000

## 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-sumitupv3-60042134308
```