Instructions to use eugenesiow/mdsr-bam with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eugenesiow/mdsr-bam with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("eugenesiow/mdsr-bam", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model_2x.pt from eugenesiow/mdsr-bam: direct link, hf CLI and curl.
- Browser
- Download file 11 MB
-
https://huggingface.co/eugenesiow/mdsr-bam/resolve/main/pytorch_model_2x.pt
- Command line
-
hf download hf://eugenesiow/mdsr-bam/pytorch_model_2x.pt
-
curl -L -o pytorch_model_2x.pt https://huggingface.co/eugenesiow/mdsr-bam/resolve/main/pytorch_model_2x.pt
11 MB
- Xet hash:
- a3eb28c001395b586735e1453f2b90f4386c28e1a9b7daa0db72c56989ac3c0f
- Size of remote file:
- 11 MB
- SHA256:
- fffd2f7bc8418996886a6a0373f9adede0aa72196a98aafb50fcf53e2bafbfae
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