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# Model Card for testcasegpt

<!-- Provide a quick summary of what the model is/does. [Optional] -->
Some cool model...




#  Table of Contents

- [Model Card for testcasegpt](#model-card-for--model_id-)
- [Table of Contents](#table-of-contents)
- [Table of Contents](#table-of-contents-1)
- [Model Details](#model-details)
  - [Model Description](#model-description)
- [Uses](#uses)
  - [Direct Use](#direct-use)
  - [Downstream Use [Optional]](#downstream-use-optional)
  - [Out-of-Scope Use](#out-of-scope-use)
- [Bias, Risks, and Limitations](#bias-risks-and-limitations)
  - [Recommendations](#recommendations)
- [Training Details](#training-details)
  - [Training Data](#training-data)
  - [Training Procedure](#training-procedure)
    - [Preprocessing](#preprocessing)
    - [Speeds, Sizes, Times](#speeds-sizes-times)
- [Evaluation](#evaluation)
  - [Testing Data, Factors & Metrics](#testing-data-factors--metrics)
    - [Testing Data](#testing-data)
    - [Factors](#factors)
    - [Metrics](#metrics)
  - [Results](#results)
- [Model Examination](#model-examination)
- [Environmental Impact](#environmental-impact)
- [Technical Specifications [optional]](#technical-specifications-optional)
  - [Model Architecture and Objective](#model-architecture-and-objective)
  - [Compute Infrastructure](#compute-infrastructure)
    - [Hardware](#hardware)
    - [Software](#software)
- [Citation](#citation)
- [Glossary [optional]](#glossary-optional)
- [More Information [optional]](#more-information-optional)
- [Model Card Authors [optional]](#model-card-authors-optional)
- [Model Card Contact](#model-card-contact)
- [How to Get Started with the Model](#how-to-get-started-with-the-model)


# Model Details

## Model Description

<!-- Provide a longer summary of what this model is/does. -->
Some cool model...

- **Developed by:** More information needed
- **Shared by [Optional]:** More information needed
- **Model type:** Language model
- **Language(s) (NLP):** zh
- **License:** apache-2.0
- **Parent Model:** More information needed
- **Resources for more information:** More information needed



# Uses

<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->

## Direct Use

<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
<!-- If the user enters content, print that. If not, but they enter a task in the list, use that. If neither, say "more info needed." -->




## Downstream Use [Optional]

<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
<!-- If the user enters content, print that. If not, but they enter a task in the list, use that. If neither, say "more info needed." -->
 



## Out-of-Scope Use

<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
<!-- If the user enters content, print that. If not, but they enter a task in the list, use that. If neither, say "more info needed." -->




# Bias, Risks, and Limitations

<!-- This section is meant to convey both technical and sociotechnical limitations. -->

Significant research has explored bias and fairness issues with language models (see, e.g., [Sheng et al. (2021)](https://aclanthology.org/2021.acl-long.330.pdf) and [Bender et al. (2021)](https://dl.acm.org/doi/pdf/10.1145/3442188.3445922)). Predictions generated by the model may include disturbing and harmful stereotypes across protected classes; identity characteristics; and sensitive, social, and occupational groups.


## Recommendations

<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->



{"language": ["zh"], "license": "apache-2.0", "library_name": "adapter-transformers", "tags": ["code"], "datasets": ["wandisun/testcase"], "pipeline_tag": "text-generation"}
adapter-transformers code text-generation zh dataset:wandisun/testcase doi:10.57967/hf/0651 license:apache-2.0 region:us
TAGS
#adapter-transformers #code #text-generation #zh #dataset-wandisun/testcase #doi-10.57967/hf/0651 #license-apache-2.0 #region-us 


---

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# Model Card for testcasegpt


Some cool model...




#  Table of Contents

- Model Card for testcasegpt
- Table of Contents
- Table of Contents
- Model Details
  - Model Description
- Uses
  - Direct Use
  - [Downstream Use [Optional]](#downstream-use-optional)
  - Out-of-Scope Use
- Bias, Risks, and Limitations
  - Recommendations
- Training Details
  - Training Data
  - Training Procedure
    - Preprocessing
    - Speeds, Sizes, Times
- Evaluation
  - Testing Data, Factors & Metrics
    - Testing Data
    - Factors
    - Metrics
  - Results
- Model Examination
- Environmental Impact
- [Technical Specifications [optional]](#technical-specifications-optional)
  - Model Architecture and Objective
  - Compute Infrastructure
    - Hardware
    - Software
- Citation
- [Glossary [optional]](#glossary-optional)
- [More Information [optional]](#more-information-optional)
- [Model Card Authors [optional]](#model-card-authors-optional)
- Model Card Contact
- How to Get Started with the Model


# Model Details

## Model Description


Some cool model...

- Developed by: More information needed
- Shared by [Optional]: More information needed
- Model type: Language model
- Language(s) (NLP): zh
- License: apache-2.0
- Parent Model: More information needed
- Resources for more information: More information needed



# Uses



## Direct Use







## Downstream Use [Optional]



 



## Out-of-Scope Use







# Bias, Risks, and Limitations



Significant research has explored bias and fairness issues with language models (see, e.g., Sheng et al. (2021) and Bender et al. (2021)). Predictions generated by the model may include disturbing and harmful stereotypes across protected classes; identity characteristics; and sensitive, social, and occupational groups.


## Recommendations





# Model Card for testcasegpt


Some cool model... #  Table of Contents

- Model Card for testcasegpt
- Table of Contents
- Table of Contents
- Model Details
  - Model Description
- Uses
  - Direct Use
  - [Downstream Use [Optional]](#downstream-use-optional)
  - Out-of-Scope Use
- Bias, Risks, and Limitations
  - Recommendations
- Training Details
  - Training Data
  - Training Procedure
    - Preprocessing
    - Speeds, Sizes, Times
- Evaluation
  - Testing Data, Factors & Metrics
    - Testing Data
    - Factors
    - Metrics
  - Results
- Model Examination
- Environmental Impact
- [Technical Specifications [optional]](#technical-specifications-optional)
  - Model Architecture and Objective
  - Compute Infrastructure
    - Hardware
    - Software
- Citation
- [Glossary [optional]](#glossary-optional)
- [More Information [optional]](#more-information-optional)
- [Model Card Authors [optional]](#model-card-authors-optional)
- Model Card Contact
- How to Get Started with the Model # Model Details ## Model Description


Some cool model...

- Developed by: More information needed
- Shared by [Optional]: More information needed
- Model type: Language model
- Language(s) (NLP): zh
- License: apache-2.0
- Parent Model: More information needed
- Resources for more information: More information needed # Uses ## Direct Use ## Downstream Use [Optional] ## Out-of-Scope Use # Bias, Risks, and Limitations



Significant research has explored bias and fairness issues with language models (see, e.g., Sheng et al. (2021) and Bender et al. (2021)). Predictions generated by the model may include disturbing and harmful stereotypes across protected classes; identity characteristics; and sensitive, social, and occupational groups. ## Recommendations
TAGS
#adapter-transformers #code #text-generation #zh #dataset-wandisun/testcase #doi-10.57967/hf/0651 #license-apache-2.0 #region-us 
 # Model Card for testcasegpt


Some cool model... #  Table of Contents

- Model Card for testcasegpt
- Table of Contents
- Table of Contents
- Model Details
  - Model Description
- Uses
  - Direct Use
  - [Downstream Use [Optional]](#downstream-use-optional)
  - Out-of-Scope Use
- Bias, Risks, and Limitations
  - Recommendations
- Training Details
  - Training Data
  - Training Procedure
    - Preprocessing
    - Speeds, Sizes, Times
- Evaluation
  - Testing Data, Factors & Metrics
    - Testing Data
    - Factors
    - Metrics
  - Results
- Model Examination
- Environmental Impact
- [Technical Specifications [optional]](#technical-specifications-optional)
  - Model Architecture and Objective
  - Compute Infrastructure
    - Hardware
    - Software
- Citation
- [Glossary [optional]](#glossary-optional)
- [More Information [optional]](#more-information-optional)
- [Model Card Authors [optional]](#model-card-authors-optional)
- Model Card Contact
- How to Get Started with the Model # Model Details ## Model Description


Some cool model...

- Developed by: More information needed
- Shared by [Optional]: More information needed
- Model type: Language model
- Language(s) (NLP): zh
- License: apache-2.0
- Parent Model: More information needed
- Resources for more information: More information needed # Uses ## Direct Use ## Downstream Use [Optional] ## Out-of-Scope Use # Bias, Risks, and Limitations



Significant research has explored bias and fairness issues with language models (see, e.g., Sheng et al. (2021) and Bender et al. (2021)). Predictions generated by the model may include disturbing and harmful stereotypes across protected classes; identity characteristics; and sensitive, social, and occupational groups. ## Recommendations