Instructions to use draketm/aloha_diffusion_insertion_scripted_bimanual_reference with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use draketm/aloha_diffusion_insertion_scripted_bimanual_reference 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 +4 -4
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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- diffusion
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- robotics
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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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- diffusion
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- lerobot
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- robotics
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---
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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": 64,
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"n_action_steps": 32,
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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/diffusion_insertion_scripted/bimanual_reference/checkpoints/last/pretrained_model",
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"horizon": 64,
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"n_action_steps": 32,
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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 1053834112
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version https://git-lfs.github.com/spec/v1
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oid sha256:888941d92b9b70331cd652701dfcb7cfaf239e25cfad67f89f90588f6474fa36
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size 1053834112
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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": 64,
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"n_action_steps": 32,
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"normalization_mapping": {
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"reward_model": null,
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"output_dir": "outputs/train/diffusion_insertion_scripted/bimanual_reference",
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"job_name": "aloha_diffusion",
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"resume":
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"seed": 1000,
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"cudnn_deterministic": false,
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"num_workers": 4,
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"batch_size": 64,
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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": 0,
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"log_freq": 200,
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"tolerance_s": 0.0001,
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"peft": null,
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"sample_weighting": null,
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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/diffusion_insertion_scripted/bimanual_reference/checkpoints/last/pretrained_model",
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"horizon": 64,
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"n_action_steps": 32,
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"normalization_mapping": {
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"reward_model": null,
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"output_dir": "outputs/train/diffusion_insertion_scripted/bimanual_reference",
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"job_name": "aloha_diffusion",
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"resume": true,
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"seed": 1000,
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"cudnn_deterministic": false,
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"num_workers": 4,
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"batch_size": 64,
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"prefetch_factor": 4,
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"persistent_workers": true,
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"steps": 10000,
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"eval_freq": 0,
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"log_freq": 200,
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"tolerance_s": 0.0001,
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"peft": null,
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"sample_weighting": null,
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"rename_map": {},
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"checkpoint_path": "outputs/train/diffusion_insertion_scripted/bimanual_reference/checkpoints/last"
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}
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