Robotics
Transformers
Safetensors
English
eo1
feature-extraction
Robot Control
Generalist robot policies
VLA
Embodied AI
Unified Model
multimodal
large embodied model
custom_code
Instructions to use IPEC-COMMUNITY/EO-1-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IPEC-COMMUNITY/EO-1-3B with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("IPEC-COMMUNITY/EO-1-3B", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 41be33bdebef5fe4f92a0d42a9e3c75328ac598355342d8a03fe2e116c3ee557
- Size of remote file:
- 11.4 MB
- SHA256:
- 0d75140c13f06848d19839de24c66ac06c06d3431887b0aa737948337d4031b4
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