Instructions to use GaiGae/pusht-diffusion-fast with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use GaiGae/pusht-diffusion-fast with LeRobot:
- Notebooks
- Google Colab
- Kaggle
Upload policy weights, train config and readme
Browse files- README.md +2 -2
- config.json +1 -1
- model.safetensors +1 -1
- train_config.json +4 -4
README.md
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@@ -5,9 +5,9 @@ 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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- robotics
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- lerobot
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- diffusion
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---
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# Model Card for diffusion
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model_name: diffusion
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pipeline_tag: robotics
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tags:
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- diffusion
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- lerobot
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- robotics
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---
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# Model Card for diffusion
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config.json
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"private": null,
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"tags": null,
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"license": null,
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"pretrained_path":
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"horizon": 16,
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"n_action_steps": 8,
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"normalization_mapping": {
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"private": null,
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"tags": null,
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"license": null,
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"pretrained_path": "outputs/train/hf_diffusion_fast/checkpoints/last/pretrained_model",
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"horizon": 16,
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"n_action_steps": 8,
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"normalization_mapping": {
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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 1050906936
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version https://git-lfs.github.com/spec/v1
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oid sha256:3a7a37fa1c66b31e632a22406f5db5fc0a07c8784709bc04c3ada50abda4985a
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size 1050906936
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train_config.json
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"private": null,
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"tags": null,
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"license": null,
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"pretrained_path":
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"horizon": 16,
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"n_action_steps": 8,
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"normalization_mapping": {
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},
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"output_dir": "outputs/train/hf_diffusion_fast",
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"job_name": "pusht_diffusion_fast",
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"resume":
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"seed": 42,
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"cudnn_deterministic": false,
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"num_workers": 12,
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"batch_size": 64,
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"steps":
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"eval_freq": 10000,
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"log_freq": 200,
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"tolerance_s": 0.0001,
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"rabc_epsilon": 1e-06,
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"rabc_head_mode": "sparse",
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"rename_map": {},
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"checkpoint_path":
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}
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"private": null,
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"tags": null,
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"license": null,
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"pretrained_path": "outputs/train/hf_diffusion_fast/checkpoints/last/pretrained_model",
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"horizon": 16,
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"n_action_steps": 8,
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"normalization_mapping": {
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},
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"output_dir": "outputs/train/hf_diffusion_fast",
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"job_name": "pusht_diffusion_fast",
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"resume": true,
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"seed": 42,
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"cudnn_deterministic": false,
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"num_workers": 12,
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"batch_size": 64,
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"steps": 100000,
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"eval_freq": 10000,
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"log_freq": 200,
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"tolerance_s": 0.0001,
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"rabc_epsilon": 1e-06,
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"rabc_head_mode": "sparse",
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"rename_map": {},
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"checkpoint_path": "outputs/train/hf_diffusion_fast/checkpoints/last"
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}
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