Any-to-Any
Transformers
Safetensors
English
Chinese
qwen3_vl
image-text-to-text
embodied-ai
vision-language-model
robotics
spatial-reasoning
multimodal
Instructions to use DeepCybo/PhysBrain1.5-2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DeepCybo/PhysBrain1.5-2B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("DeepCybo/PhysBrain1.5-2B") model = AutoModelForMultimodalLM.from_pretrained("DeepCybo/PhysBrain1.5-2B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update pipeline tag and add library name
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by nielsr HF Staff - opened
README.md
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---
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language:
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- en
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- zh
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tags:
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- embodied-ai
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- vision-language-model
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- robotics
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- spatial-reasoning
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- multimodal
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pipeline_tag: image-text-to-text
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base_model:
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---
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<div align="center">
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primaryClass={cs.CV},
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url={https://arxiv.org/abs/2609.14973},
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}
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```
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base_model:
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- Qwen/Qwen3-VL-2B-Instruct
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language:
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- en
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- zh
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pipeline_tag: any-to-any
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library_name: transformers
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tags:
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- embodied-ai
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- vision-language-model
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- robotics
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- spatial-reasoning
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- multimodal
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---
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<div align="center">
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primaryClass={cs.CV},
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url={https://arxiv.org/abs/2609.14973},
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}
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```
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