Image-to-Image
Transformers
Safetensors
PyTorch
English
swin2sr
super-resolution
image-denoising
vision-transformer
Instructions to use madhav512/nppe3-swin2sr-lowlight-denoise with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use madhav512/nppe3-swin2sr-lowlight-denoise with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-to-image", model="madhav512/nppe3-swin2sr-lowlight-denoise")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageToImage processor = AutoImageProcessor.from_pretrained("madhav512/nppe3-swin2sr-lowlight-denoise") model = AutoModelForImageToImage.from_pretrained("madhav512/nppe3-swin2sr-lowlight-denoise", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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