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:
# pip install -U transformers accelerate # 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
Commit History
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Improve model card: Add robotics pipeline tag, transformers library, and enhance links
Verified signatureThis PR enhances the model card by: * Adding `pipeline_tag: robotics` to correctly categorize the model and improve its discoverability on the Hugging Face Hub (e.g., at https://huggingface.co/models?pipeline_tag=robotics). * Adding `library_name: transformers` to enable the "how to use" widget and automated code snippets, as the model is compatible with the `transformers` library via `trust_remote_code=True` as evidenced by the provided inference example. * Updating the project website link in the badge to the more specific `https://eo-robotics.ai/eo-1` as found in the GitHub README. * Adding a direct badge link to the GitHub repository `https://github.com/EO-Robotics/EO-1` for easy access to the codebase. * Updating the BibTeX citation block with the more complete version from the GitHub README, including the arXiv URL. These improvements will make the model more discoverable and easier for users to interact with.b6a3a13
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