Instructions to use YiYiXu/test_uploadfolder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use YiYiXu/test_uploadfolder with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("YiYiXu/test_uploadfolder", 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 checkpoint-100/optimizer.bin from YiYiXu/test_uploadfolder: direct link, hf CLI and curl.
- Browser
- Download file 2.89 GB
-
https://huggingface.co/YiYiXu/test_uploadfolder/resolve/main/checkpoint-100/optimizer.bin
- Command line
-
hf download hf://YiYiXu/test_uploadfolder/checkpoint-100/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/YiYiXu/test_uploadfolder/resolve/main/checkpoint-100/optimizer.bin
2.89 GB
- Xet hash:
- d7eef7d1f3ebef4fb6a0ba3f4adc269e4a5bba910047e462c1d7be4f07e80d70
- Size of remote file:
- 2.89 GB
- SHA256:
- e552deb9c83001c1767cdfacca77c259ae868e8c2a23565293ca0d92f627d873
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