--- language: - en - fr - multilingual license: mit --- # Model Card for model-card-testing This is a placeholder summary.
Click to expand policymaker version of model card # Table of Contents 1. [Model Details](#model-details) 2. [Uses](#uses) 3. [Bias, Risks, and Limitations](#bias-risks-and-limitations) 4. [Model Examination](#model-examination) 5. [Environmental Impact](#environmental-impact) 6. [Citation](#citation) 7. [Glossary](#glossary-optional) 8. [More Information](#more-information-optional) 9. [Model Card Authors](#model-card-authors-optional) 10. [Model Card Contact](#model-card-contact)
# Table of Contents 1. [Model Details](#model-details) 2. [Uses](#uses) 3. [Bias, Risks, and Limitations](#bias-risks-and-limitations) 4. [Training Details](#training-details) 5. [Evaluation](#evaluation) 6. [Model Examination](#model-examination) 7. [Environmental Impact](#environmental-impact) 8. [Technical Specifications](#technical-specifications-optional) 9. [Citation](#citation) 10. [Glossary](#glossary-optional) 11. [More Information](#more-information-optional) 12. [Model Card Authors](#model-card-authors-optional) 13. [Model Card Contact](#model-card-contact) 14. [How To Get Started With the Model](#how-to-get-started-with-the-model) # Model Details ## Model Description - **Developed by:** More information needed - **Shared by [Optional]:** More information needed - **Model type:** Language model - **Language(s) (NLP):** More information needed - **License:** More information needed - **Related Models:** fake_model1, fake_model2 - **Parent Model:** More information needed - **Resources for more information:** More information needed - [Associated Paper](https://huggingface.co) - [Blog Post](https://huggingface.co) # Uses ## Direct Use The model can be used for text generation. ## Downstream Use [Optional] To learn more about this task and potential downstream uses, see the Hugging Face [text generation docs](https://huggingface.co/tasks/text-generation) ## Out-of-Scope Use The model should not be used to intentionally create hostile or alienating environments for people. The model was not trained to be factual or true representations of people or events, and therefore using the models to generate such content is out-of-scope for the abilities of this model. # Bias, Risks, and 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 Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recomendations. # Training Details ## Training Data More information on training data needed ## Training Procedure ### Preprocessing More information needed ### Speeds, Sizes, Times More information needed # Evaluation ## Testing Data, Factors & Metrics ### Testing Data More information needed ### Factors More information needed ### Metrics More information needed ## Results More information needed # Model Examination More information needed # Environmental Impact 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). - **Hardware Type:** More information needed - **Hours used:** More information needed - **Cloud Provider:** More information needed - **Compute Region:** More information needed - **Carbon Emitted:** More information needed # Technical Specifications [optional] ## Model Architecture and Objective More information needed ## Compute Infrastructure More information needed ### Hardware More information needed ### Software More information needed # Citation **BibTeX:** More information needed **APA:** More information needed # Glossary [optional] More information needed # More Information [optional] More information needed # Model Card Authors [optional] More information needed # Model Card Contact More information needed # How to Get Started with the Model Use the code below to get started with the model.
Click to expand More information needed