Robotics
Transformers
Safetensors
English
Chinese
qwen3_vl
image-text-to-text
embodied-ai
vision-language-model
embodied-reasoning
spatial-reasoning
pointing
vla
qwen3-vl
Instructions to use IffYuan/Embodied-R1.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IffYuan/Embodied-R1.5 with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("IffYuan/Embodied-R1.5") model = AutoModelForMultimodalLM.from_pretrained("IffYuan/Embodied-R1.5") - Notebooks
- Google Colab
- Kaggle
Update pipeline tag to robotics and improve model card
#1
by nielsr HF Staff - opened
Hi, I'm Niels from the community science team at Hugging Face.
This PR updates the model card for Embodied-R1.5 to improve its documentation and discoverability:
- Updated the
pipeline_tagtoroboticsas this is an embodied foundation model. - Added a link to the paper.
- Included the "Quick Start" usage section for
transformers. - Documented the model's structured output conventions.
These changes help users understand how to interact with the model and ensure it appears in the correct categories on the Hub.
IffYuan changed pull request status to merged