Instructions to use LibreYOLO/LibrePRXPixel7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LibreYOLO
How to use LibreYOLO/LibrePRXPixel7b with LibreYOLO:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Diffusers
How to use LibreYOLO/LibrePRXPixel7b with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("LibreYOLO/LibrePRXPixel7b", 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 tokenizer/tokenizer.json from LibreYOLO/LibrePRXPixel7b: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/LibreYOLO/LibrePRXPixel7b/resolve/main/tokenizer/tokenizer.json
- Command line
-
hf download hf://LibreYOLO/LibrePRXPixel7b/tokenizer/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/LibreYOLO/LibrePRXPixel7b/resolve/main/tokenizer/tokenizer.json
11.4 MB
- Xet hash:
- e1c5ae75d50677cf0cce3ad0441fbf25396122838224b9473c03004e92077538
- Size of remote file:
- 11.4 MB
- SHA256:
- def76fb086971c7867b829c23a26261e38d9d74e02139253b38aeb9df8b4b50a
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