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
- Xet hash:
- ab1a705ee6a816832c6e0885957fd5ceb994bf2fec8cbc9e987c3eac7c5864d8
- Size of remote file:
- 60.8 MB
- SHA256:
- 5362f8fee4e22fc9ce0536a81394b71967348be7d9ddf150301ec118df4478cf
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