Instructions to use aliangdw/Robometer-4B-LIBERO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aliangdw/Robometer-4B-LIBERO with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, RFM processor = AutoProcessor.from_pretrained("aliangdw/Robometer-4B-LIBERO") model = RFM.from_pretrained("aliangdw/Robometer-4B-LIBERO", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add robotics pipeline tag and paper links
Verified signatureHi! I'm Niels from the Hugging Face community science team. I've opened this PR to add the `robotics` pipeline tag to your model's metadata, which helps researchers find your work when filtering for robotics-related models. I've also updated the README to include direct links to the paper page, project page, and GitHub repository.a5c3cf9
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Duplicate from aliangdw/libero_ablation_prog_pref_with_fail_lora_ft_4frames
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