Instructions to use huggingnft/frames with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use huggingnft/frames with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("huggingnft/frames", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| tags: | |
| - huggingnft | |
| - nft | |
| - huggan | |
| - gan | |
| - image | |
| - images | |
| - unconditional-image-generation | |
| datasets: | |
| - huggingnft/frames | |
| license: mit | |
| # Hugging NFT: frames | |
| ## Disclaimer | |
| All rights belong to their owners. Models and datasets can be removed from the site at the request of the copyright | |
| holder. | |
| ## Model description | |
| LightWeight GAN model for unconditional generation. | |
| NFT collection available [here](https://opensea.io/collection/frames). | |
| Dataset is available [here](https://huggingface.co/datasets/huggingnft/frames). | |
| Check Space: [link](https://huggingface.co/spaces/AlekseyKorshuk/huggingnft). | |
| Project repository: [link](https://github.com/AlekseyKorshuk/huggingnft). | |
| [](https://github.com/AlekseyKorshuk/huggingnft) | |
| ## Intended uses & limitations | |
| #### How to use | |
| Check project repository: [link](https://github.com/AlekseyKorshuk/huggingnft). | |
| #### Limitations and bias | |
| Check project repository: [link](https://github.com/AlekseyKorshuk/huggingnft). | |
| ## Training data | |
| Dataset is available [here](https://huggingface.co/datasets/huggingnft/frames). | |
| ## Training procedure | |
| Training script is available [here](https://github.com/AlekseyKorshuk/huggingnft). | |
| ## Generated Images | |
| Check results with Space: [link](https://huggingface.co/spaces/AlekseyKorshuk/huggingnft). | |
| ## About | |
| *Built by Aleksey Korshuk* | |
| [](https://github.com/AlekseyKorshuk) | |
| [](https://twitter.com/intent/follow?screen_name=alekseykorshuk) | |
| [](https://t.me/joinchat/_CQ04KjcJ-4yZTky) | |
| For more details, visit the project repository. | |
| [](https://github.com/AlekseyKorshuk/huggingnft) | |
| ### BibTeX entry and citation info | |
| ```bibtex | |
| @InProceedings{huggingnft, | |
| author={Aleksey Korshuk} | |
| year=2022 | |
| } | |
| ``` | |