Transformers
PyTorch
face-recognition
face-generation
face-segmentation
generative-adversarial-network
Instructions to use NimaBoscarino/aot-gan-celebahq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NimaBoscarino/aot-gan-celebahq with Transformers:
# Load model directly from transformers import InpaintGenerator model = InpaintGenerator.from_pretrained("NimaBoscarino/aot-gan-celebahq", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "InpaintGenerator" | |
| ], | |
| "block_num": 8, | |
| "rates": [ | |
| 1, | |
| 2, | |
| 4, | |
| 8 | |
| ], | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.15.0", | |
| "use_cache": true | |
| } | |