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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("IffYuan/Embodied-R1.5") model = AutoModelForMultimodalLM.from_pretrained("IffYuan/Embodied-R1.5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Update pipeline tag to robotics and improve model card (#1)
- Update pipeline tag to robotics and improve model card (92cc2e331874a1017fbf6c38c6df089b94fc8f0f) Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>c6765aa
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Update model card: overview, output conventions, vLLM, eval, training
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