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, device_map="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- c908609660691d57a7269d15cd0ce3a3195db6064203c9ecc66a98fed68cb695
- Size of remote file:
- 1.79 MB
- SHA256:
- fa9cbfd977a72a72483dc5c408e7c7ef2e7828f9a1696a027833d6c8bda8523f
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