Instructions to use easylearning/recap-robot-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use easylearning/recap-robot-models with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("easylearning/recap-robot-models", 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 weights/rt1_world/generation_config.json from easylearning/recap-robot-models: direct link, hf CLI and curl.
- Browser
- Download file 139 Bytes
-
https://huggingface.co/easylearning/recap-robot-models/resolve/main/weights/rt1_world/generation_config.json
- Command line
-
hf download hf://easylearning/recap-robot-models/weights/rt1_world/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/easylearning/recap-robot-models/resolve/main/weights/rt1_world/generation_config.json
139 Bytes
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 9006, | |
| "eos_token_id": 9007, | |
| "max_length": 8192, | |
| "transformers_version": "4.51.1" | |
| } | |