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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a515955815ab6dba3a9331d8c75db13a5166a5ffbcebf1a95ab676a5656ac4fb
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size 48460660
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