Instructions to use eugenesiow/edsr-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eugenesiow/edsr-base with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("eugenesiow/edsr-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model_2x.pt from eugenesiow/edsr-base: direct link, hf CLI and curl.
- Browser
- Download file 5.51 MB
-
https://huggingface.co/eugenesiow/edsr-base/resolve/main/pytorch_model_2x.pt
- Command line
-
hf download hf://eugenesiow/edsr-base/pytorch_model_2x.pt
-
curl -L -o pytorch_model_2x.pt https://huggingface.co/eugenesiow/edsr-base/resolve/main/pytorch_model_2x.pt
5.51 MB
- Xet hash:
- f8b8981579612d96e3f73639020bcdaa7a2c7e279ae9dbfd0687a0e7c0ba0502
- Size of remote file:
- 5.51 MB
- SHA256:
- b709bea0d3e3a7a1c84eb1eaa6e5e777f176edcfca00b3b5acde5320eb630211
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