Instructions to use ChengYangYang/bpp-reading-pointer-weights with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ChengYangYang/bpp-reading-pointer-weights with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ChengYangYang/bpp-reading-pointer-weights", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Download earlier_lines/boundary_reader/data.npz from ChengYangYang/bpp-reading-pointer-weights: direct link, hf CLI and curl.
- Browser
- Download file 1.4 GB
-
https://huggingface.co/ChengYangYang/bpp-reading-pointer-weights/resolve/main/earlier_lines/boundary_reader/data.npz
- Command line
-
hf download hf://ChengYangYang/bpp-reading-pointer-weights/earlier_lines/boundary_reader/data.npz
-
curl -L -o data.npz https://huggingface.co/ChengYangYang/bpp-reading-pointer-weights/resolve/main/earlier_lines/boundary_reader/data.npz
1.4 GB
- Xet hash:
- 3c20c8911bb068ad5c0fa30dc0f869231b681682296e7a0c034eb9c6c40815f0
- Size of remote file:
- 1.4 GB
- SHA256:
- b3b371d0f2e70fc3d5aaa1d3fe706825a44f8cd6fba7f04c725e000236d7af4b
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