Instructions to use eugenesiow/drln with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eugenesiow/drln with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("eugenesiow/drln", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model_2x.pt from eugenesiow/drln: direct link, hf CLI and curl.
- Browser
- Download file 138 MB
-
https://huggingface.co/eugenesiow/drln/resolve/main/pytorch_model_2x.pt
- Command line
-
hf download hf://eugenesiow/drln/pytorch_model_2x.pt
-
curl -L -o pytorch_model_2x.pt https://huggingface.co/eugenesiow/drln/resolve/main/pytorch_model_2x.pt
138 MB
- Xet hash:
- cee84fa004f90f5231c4fe11dbb0e41191081d2b92b315369ce3aff0e7751ef7
- Size of remote file:
- 138 MB
- SHA256:
- 6db1584a48376f9a1669da14d2a46829e1dbb28cb61b72558f59441cc8c0f0aa
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