Instructions to use fusing/glide-super-res-dummy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fusing/glide-super-res-dummy with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("fusing/glide-super-res-dummy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 521a06914304e2d69495afa6f01ded24d5d524812fb1a4a2ba425effd28e340c
- Size of remote file:
- 4.33 MB
- SHA256:
- 64a658e2209ca94f7cb26eb01c9940aa692a0ce7285bfd0acdf9725c955be327
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