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/PhysBrain1.5-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DeepCybo/PhysBrain1.5-8B with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("DeepCybo/PhysBrain1.5-8B") model = AutoModelForMultimodalLM.from_pretrained("DeepCybo/PhysBrain1.5-8B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0d1c29ad1041da202e4a15f8c69bc31af793b396adf57a52e26b65565e0328b1
- Size of remote file:
- 14.6 MB
- SHA256:
- 3e9461fb3fbcf6f9e93eabcc5621217c7cc1a628cdd8d1717b5ba80702e9ba9c
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