Image-to-Image
Transformers
ONNX
Safetensors
swin2sr
image-super-resolution
onnxruntime-web
webgpu
wasm
ternary
text-robustness
Instructions to use clark-labs/clark-swin2sr-lightweight-x2-textstudy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use clark-labs/clark-swin2sr-lightweight-x2-textstudy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-to-image", model="clark-labs/clark-swin2sr-lightweight-x2-textstudy")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageToImage processor = AutoImageProcessor.from_pretrained("clark-labs/clark-swin2sr-lightweight-x2-textstudy") model = AutoModelForImageToImage.from_pretrained("clark-labs/clark-swin2sr-lightweight-x2-textstudy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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