Instructions to use sergiuzmf/so101-diffusion-policy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use sergiuzmf/so101-diffusion-policy with LeRobot:
- Notebooks
- Google Colab
- Kaggle
Upload policy weights, train config and readme
Browse files- README.md +1 -1
- config.json +1 -1
- model.safetensors +1 -1
- train_config.json +3 -3
README.md
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@@ -5,8 +5,8 @@ license: apache-2.0
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model_name: diffusion
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pipeline_tag: robotics
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tags:
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- lerobot
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- robotics
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- diffusion
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---
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model_name: diffusion
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pipeline_tag: robotics
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tags:
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- robotics
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- lerobot
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- diffusion
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---
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config.json
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]
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}
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},
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"device": "
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"use_amp": false,
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"use_peft": false,
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"push_to_hub": true,
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]
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}
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},
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"device": "cuda",
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"use_amp": false,
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"use_peft": false,
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"push_to_hub": true,
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 992360344
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version https://git-lfs.github.com/spec/v1
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oid sha256:586c65b8b955d8bfd468296f474e64da9df3d02f7acfb410b76cfd4d4ceec269
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size 992360344
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train_config.json
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]
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}
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},
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"device": "
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"use_amp": false,
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"use_peft": false,
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"push_to_hub": true,
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"scheduler_warmup_steps": 500
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},
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"reward_model": null,
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"output_dir": "outputs\\train\\2026-05-14\\
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"job_name": "diffusion",
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"resume": false,
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"seed": 1000,
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"batch_size": 16,
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"prefetch_factor": 4,
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"persistent_workers": true,
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"steps":
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"eval_freq": 20000,
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"log_freq": 200,
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"tolerance_s": 0.0001,
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]
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}
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},
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"device": "cuda",
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"use_amp": false,
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"use_peft": false,
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"push_to_hub": true,
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"scheduler_warmup_steps": 500
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},
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"reward_model": null,
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"output_dir": "outputs\\train\\2026-05-14\\22-15-30_diffusion",
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"job_name": "diffusion",
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"resume": false,
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"seed": 1000,
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"batch_size": 16,
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"prefetch_factor": 4,
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"persistent_workers": true,
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"steps": 5000,
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"eval_freq": 20000,
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"log_freq": 200,
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"tolerance_s": 0.0001,
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