Instructions to use ShimbaLLM/Dupe-R-IMG with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShimbaLLM/Dupe-R-IMG with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ShimbaLLM/Dupe-R-IMG", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from ShimbaLLM/Dupe-R-IMG: direct link, hf CLI and curl.
- Browser
- Download file 595 MB
-
https://huggingface.co/ShimbaLLM/Dupe-R-IMG/resolve/main/model.safetensors
- Command line
-
hf download hf://ShimbaLLM/Dupe-R-IMG/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/ShimbaLLM/Dupe-R-IMG/resolve/main/model.safetensors
595 MB
- Xet hash:
- 31c2e579bb3c735aebc421d65635e58326adc281e6982e0e4fc4f54e1f19b078
- Size of remote file:
- 595 MB
- SHA256:
- a1eb3c6f441a6300590ff5eb79c9f00171c66dc43659e019221e35b8bb6e637e
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