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:
- 286f9a5f36b239e3fd98bd140823ba3cef46855737acd207586d3271ea37ff3c
- Size of remote file:
- 4.92 GB
- SHA256:
- 8e4ea77836fd0592dbb3aaa32eddad28bfa2b6dce9d477c876af39618c80d714
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