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:
- d7e1f1cdb43dd141ba9b50d034d18e75f008c4dcf525fd649073504b24dcd624
- Size of remote file:
- 3.45 GB
- SHA256:
- 304dc86467f00697aa68f3728880a64aed4128760c74f8c0f195f4360944b37d
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