--- language: en license: mit library_name: keras --- # Model Card for Model ID # Model Details ## Model Description ['Frédéric_Chopin', 'Prime_minister', 'Arnold_Schwarzenegger', 'Alexander_Graham_Bell', 'Virgil', 'Mary_(mother_of_Jesus)', 'John,_King_of_England', 'Athanasius_of_Alexandria', 'Bill_%26_Melinda_Gates_Foundation', 'Edmund_Burke', 'Pope_Paul_VI', 'Gamal_Abdel_Nasser', 'Pope_John_XXIII', 'John_von_Neumann', 'George_VI', 'Karl_Popper', 'Friedrich_Hayek', 'John_Kerry', 'Richard_Feynman', 'Muammar_Gaddafi', 'Steven_Spielberg', 'Alfred_North_Whitehead', 'Party_leaders_of_the_United_States_House_of_Representatives', 'Dwight_D._Eisenhower'] - **Developed by:** nandysoham - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** en - **License:** mit - **Finetuned from model [optional]:** [More Information Needed] ## Model Sources [optional] - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] # Uses ## Direct Use [More Information Needed] ## Downstream Use [optional] [More Information Needed] ## Out-of-Scope Use [More Information Needed] # Bias, Risks, and Limitations [More Information Needed] ## Recommendations 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. [More Information Needed] # Training Details ## Training Data [More Information Needed] ## Training Procedure [optional] ### 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] ### Summary # Model Examination [optional] [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 [optional] **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]