Robotics
Transformers
Safetensors
English
qwen2_5_vl
image-text-to-text
RDT
rdt
RDT 2
Vision-Language-Action
Bimanual
Manipulation
Zero-shot
UMI
text-generation-inference
Instructions to use robotics-diffusion-transformer/RDT2-VQ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use robotics-diffusion-transformer/RDT2-VQ with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("robotics-diffusion-transformer/RDT2-VQ") model = AutoModelForMultimodalLM.from_pretrained("robotics-diffusion-transformer/RDT2-VQ", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download merges.txt from robotics-diffusion-transformer/RDT2-VQ: direct link, hf CLI and curl.
- Browser
- Download file 1.67 MB
-
https://huggingface.co/robotics-diffusion-transformer/RDT2-VQ/resolve/main/merges.txt
- Command line
-
hf download hf://robotics-diffusion-transformer/RDT2-VQ/merges.txt
-
curl -L -o merges.txt https://huggingface.co/robotics-diffusion-transformer/RDT2-VQ/resolve/main/merges.txt
1.67 MB
File too large to display, you can check the raw version instead.