| tags: | |
| - huggan | |
| - gan | |
| # See a list of available tags here: | |
| # https://github.com/huggingface/hub-docs/blob/main/js/src/lib/interfaces/Types.ts#L12 | |
| # task: unconditional-image-generation or conditional-image-generation or image-to-image | |
| license: mit | |
| # MyModelName | |
| ## Model description | |
| Describe the model here (what it does, what it's used for, etc.) | |
| ## Intended uses & limitations | |
| #### How to use | |
| ```python | |
| # You can include sample code which will be formatted | |
| ``` | |
| #### Limitations and bias | |
| Provide examples of latent issues and potential remediations. | |
| ## Training data | |
| Describe the data you used to train the model. | |
| If you initialized it with pre-trained weights, add a link to the pre-trained model card or repository with description of the pre-training data. | |
| ## Training procedure | |
| Preprocessing, hardware used, hyperparameters... | |
| ## Eval results | |
| ## Generated Images | |
| You can embed local or remote images using `` | |
| ### BibTeX entry and citation info | |
| ```bibtex | |
| @inproceedings{..., | |
| year={2020} | |
| } | |
| ``` |