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## Examples | ||
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We provide simple [example scripts](examples) that demonstrate how to inference and finetune OCTO models, | ||
We provide simple example scripts that demonstrate how to inference and finetune OCTO models, | ||
as well as how to use our data loader independently. We provide the following examples: | ||
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| [OCTO Inference](examples/01_inference_pretrained.ipynb) | Minimal example for loading and inferencing a pre-trained OCTO model | | ||
| [OCTO Finetuning](examples/02_finetune_new_observation_action.py) | Minimal example for finetuning a pre-trained OCTO models on a small dataset with new observation + action space | | ||
| [OCTO Rollout](examples/03_eval_finetuned.py) | Run a rollout of a pre-trained OCTO policy in a Gym environment | | ||
| [OCTO Robot Eval](examples/04_eval_finetuned_on_robot.py) | Evaluate a pre-trained OCTO model on a real WidowX robot | | ||
| [OpenX Dataloader Intro](examples/05_dataloading.ipynb) | Walkthrough of the features of our Open X-Embodiment data loader | | ||
| [OpenX PyTorch Dataloader](examples/06_pytorch_oxe_dataloader.ipynb) | Standalone Open X-Embodiment data loader in PyTorch | | ||
| [OCTO Inference](01_inference_pretrained.ipynb) | Minimal example for loading and inferencing a pre-trained OCTO model | | ||
| [OCTO Finetuning](02_finetune_new_observation_action.py) | Minimal example for finetuning a pre-trained OCTO models on a small dataset with new observation + action space | | ||
| [OCTO Rollout](03_eval_finetuned.py) | Run a rollout of a pre-trained OCTO policy in a Gym environment | | ||
| [OCTO Robot Eval](04_eval_finetuned_on_robot.py) | Evaluate a pre-trained OCTO model on a real WidowX robot | | ||
| [OpenX Dataloader Intro](05_dataloading.ipynb) | Walkthrough of the features of our Open X-Embodiment data loader | | ||
| [OpenX PyTorch Dataloader](06_pytorch_oxe_dataloader.py) | Standalone Open X-Embodiment data loader in PyTorch | |