Instructions to use Wjjjh/lingbot-va-libero-goal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Wjjjh/lingbot-va-libero-goal with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Wjjjh/lingbot-va-libero-goal", 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 README.md from Wjjjh/lingbot-va-libero-goal: direct link, hf CLI and curl.
- Browser
- Download file 28 Bytes
-
https://huggingface.co/Wjjjh/lingbot-va-libero-goal/resolve/207cf7319edd2bd29cfcecf45d7b438e96a4d913/README.md
- Command line
-
hf download hf://Wjjjh/lingbot-va-libero-goal@207cf7319edd2bd29cfcecf45d7b438e96a4d913/README.md
-
curl -L -o README.md https://huggingface.co/Wjjjh/lingbot-va-libero-goal/resolve/207cf7319edd2bd29cfcecf45d7b438e96a4d913/README.md
28 Bytes
metadata
license: apache-2.0