Instructions to use juyil/long-8act with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use juyil/long-8act with Transformers:
# Load model directly from transformers import AutoModelForVision2Seq model = AutoModelForVision2Seq.from_pretrained("juyil/long-8act", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add robotics pipeline tag, library name, license, and link to GitHub
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by nielsr HF Staff - opened
README.md
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## Citation
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license: mit
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library_name: transformers
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pipeline_tag: robotics
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---
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This repository contains the checkpoint trained on Long LIBERO task suite, as described in [VOTE: Vision-Language-Action Optimization with Trajectory Ensemble Voting](https://arxiv.org/abs/2507.05116).
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- **Repository:** [LukeLIN-web/VOTE](https://github.com/LukeLIN-web/VOTE)
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## Citation
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