README.md

---
library_name: transformers
tags:
- llama-factory
---

# Model Card for Model ID

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## Model Details

### Model Description

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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

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### Model Sources [optional]

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## Uses

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### Direct Use

#### Example1:

[Enter some positive ideas]

Input：
```
坚决清除低俗庸俗媚俗之风
```

Output：
```
阻止庸俗的东西侵蚀人们的精神世界，关键还是要着力引导人们牢固树立时代精神追求、增强道德自律意识、
提升精神境界。正所谓“欲知得失，穷变通移”。为此，要坚定不移深化文化体制改革，坚定不移实施文化惠民工程，
深入开展中国特色社会主义宣传教育，弘扬民族精神和时代精神，推动文化事业全面繁荣、文化产业快速发展，
不断丰富人民精神世界、增强人民精神力量，切实提高文化软实力，不断增强中华民族的凝聚力，不断为...
```
#### Example2:

[Input part of news from offical sources]

Input：
```
国际观察｜欧盟在多重挑战中寻找方向

新一届欧洲议会选举将于6日至9日举行。这是英国“脱欧”后的首场欧洲议会选举，选后欧洲领导层也将迎来新一轮换届，本次选举因此被视为欧洲政治生态的“风向标”。

欧洲目前深受乌克兰危机、巴以冲突外溢效应等影响，内外矛盾与挑战相互叠加。分析人士指出，选民的意志立场将在此次选举中得到集中体现，欧洲政治版图或面临新一轮洗牌，右翼政治势力可能“异军突起”，进一步扩大在欧洲议会的影响力，这或将深刻影响未来五年欧洲政策走向。
```
Output：
```
团结合作是欧盟发展的不竭动力。在百年变局和世纪疫情交织的复杂局面下，欧盟在抗疫和经济复苏、防务和安全、数字化和就业等领域面临诸多挑战，
需要在加强团结合作方面多些担当、多些行动。中欧作为推动多极化的两大力量，应该携手走出一条平等、合作、共赢的新时代之路。
双方应该继续坚定支持彼此核心利益和重大关切，坚定支持彼此践行真正的多边主义，坚定支持彼此维护国际公平正义，为世界注入更多稳定性和正能量。
我愿同欧方一道努力，把握好新一轮欧中合作的时机和空间，使中欧关系在危机和挑战中更加广阔、更加稳固、更加富有成果。
中方高度重视中欧关系，愿同欧方共同努力，将中欧一系列高层和战略层面的沟通和协调机制化、常态化，确保中欧关系不偏航、不走调。
中方愿同欧方一道努力，推动中欧关系迈上新台阶，更好造福双方人民。
```

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### Downstream Use [optional]

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### Out-of-Scope Use

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## Bias, Risks, and Limitations

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### Recommendations

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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

## How to Get Started with the Model

Use the code below to get started with the model.

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## Training Details

### Training Data

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### Training Procedure

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#### Preprocessing [optional]

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#### Training Hyperparameters

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#### Speeds, Sizes, Times [optional]

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## Evaluation

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### Testing Data, Factors & Metrics

#### Testing Data

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#### Factors

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#### Metrics

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### Results

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#### Summary



## Model Examination [optional]

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## Environmental Impact

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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).

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## Technical Specifications [optional]

### Model Architecture and Objective

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## Citation [optional]

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## Glossary [optional]

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