Instructions to use caidas/swin2SR-classical-sr-x2-64 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use caidas/swin2SR-classical-sr-x2-64 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-to-image", model="caidas/swin2SR-classical-sr-x2-64")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageToImage processor = AutoImageProcessor.from_pretrained("caidas/swin2SR-classical-sr-x2-64") model = AutoModelForImageToImage.from_pretrained("caidas/swin2SR-classical-sr-x2-64") - Notebooks
- Google Colab
- Kaggle
Training
#1
by AlexMir - opened
Hi, thank you for adding this model to HF.
Do you plan to add training too? Or only inference will be available?
Hi,
I ported this model from https://github.com/mv-lab/swin2sr which only includes inference code.
Maybe @marcosv can comment here