Robotics
Transformers
Safetensors
qwen3_vl_geometry
text-generation
vision-language-action
vla
manipulation
qwen3-vl
depth
3d-trajectory
Instructions to use DAVIAN-Robotics/3D_HAMSTER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DAVIAN-Robotics/3D_HAMSTER with Transformers:
# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("DAVIAN-Robotics/3D_HAMSTER", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a7f05b005893b4e90edf345436a94c7b11962a578a93d18f2dea59b9caa096c0
- Size of remote file:
- 5 GB
- SHA256:
- fa827a490ab99271c716b8c452699a7433e3d9590dc38a30c52c16cda42be6c9
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