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:
# Load model directly from transformers import AutoProcessor, RFM processor = AutoProcessor.from_pretrained("aliangdw/Robometer-4B-LIBERO") model = RFM.from_pretrained("aliangdw/Robometer-4B-LIBERO") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b345b49d23a64b4767b7769fe26b8378b6e14ead761dd54a91dd174b0c9634b9
- Size of remote file:
- 5.91 kB
- SHA256:
- 048627fb670006ceee7197aeddf596ae746515c3e6a2d0356811abcfbdc7062a
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