Instructions to use fecasado/gfm-cubes-22b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use fecasado/gfm-cubes-22b with LeRobot:
- Notebooks
- Google Colab
- Kaggle
Upload README.md with huggingface_hub
Browse files
README.md
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- blueberry
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library_name: lerobot
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pipeline_tag: robotics
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datasets:
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---
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# GFM Cubes 22b
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from lerobot_policy_gaze_fm import GazeFMPolicy
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policy = GazeFMPolicy.from_pretrained("fecasado/gfm-cubes-22b")
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actions = policy.predict_action_chunk(observation_batch)
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- blueberry
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library_name: lerobot
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pipeline_tag: robotics
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datasets: fecasado/Ncubes-to-Nbaskets-320x240
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model_name: gaze_flow_matching
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---
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# GFM Cubes 22b
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from lerobot_policy_gaze_fm import GazeFMPolicy
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policy = GazeFMPolicy.from_pretrained("fecasado/gfm-cubes-22b")
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actions = policy.predict_action_chunk(observation_batch)
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