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_3x.pt from eugenesiow/edsr-base: direct link, hf CLI and curl.
- Browser
- Download file 6.25 MB
-
https://huggingface.co/eugenesiow/edsr-base/resolve/main/pytorch_model_3x.pt
- Command line
-
hf download hf://eugenesiow/edsr-base/pytorch_model_3x.pt
-
curl -L -o pytorch_model_3x.pt https://huggingface.co/eugenesiow/edsr-base/resolve/main/pytorch_model_3x.pt
6.25 MB
- Xet hash:
- 637f31c9224960e1d64d413b330e90906f68bd18c32f7f4d789035c25115e6a0
- Size of remote file:
- 6.25 MB
- SHA256:
- 27a09b477d3b9531e2a0e6747a103a8c619c0daac9f4ee704828e335bdb034cd
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