Instructions to use EPITECH-LILLE/act_so101_grab_cube_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use EPITECH-LILLE/act_so101_grab_cube_v2 with LeRobot:
- Notebooks
- Google Colab
- Kaggle
Upload policy weights, train config and readme
Browse files- config.json +2 -2
- train_config.json +4 -4
config.json
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@@ -41,7 +41,7 @@
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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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"chunk_size": 100,
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"n_action_steps": 100,
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"normalization_mapping": {
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},
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"vision_backbone": "resnet18",
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"pretrained_backbone_weights": "ResNet18_Weights.IMAGENET1K_V1",
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"replace_final_stride_with_dilation":
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"pre_norm": false,
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"dim_model": 512,
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"n_heads": 8,
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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/training_v1/checkpoints/last/pretrained_model",
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"chunk_size": 100,
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"n_action_steps": 100,
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"normalization_mapping": {
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},
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"vision_backbone": "resnet18",
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"pretrained_backbone_weights": "ResNet18_Weights.IMAGENET1K_V1",
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"replace_final_stride_with_dilation": 0,
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"pre_norm": false,
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"dim_model": 512,
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"n_heads": 8,
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train_config.json
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@@ -123,7 +123,7 @@
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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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"chunk_size": 100,
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"n_action_steps": 100,
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"normalization_mapping": {
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},
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"vision_backbone": "resnet18",
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"pretrained_backbone_weights": "ResNet18_Weights.IMAGENET1K_V1",
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"replace_final_stride_with_dilation":
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"pre_norm": false,
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"dim_model": 512,
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"n_heads": 8,
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},
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"output_dir": "outputs/train/training_v1",
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"job_name": "act_so101_test",
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"resume":
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"seed": 1000,
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"cudnn_deterministic": false,
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"num_workers": 16,
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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/training_v1/checkpoints/last/pretrained_model",
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"chunk_size": 100,
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"n_action_steps": 100,
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"normalization_mapping": {
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},
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"vision_backbone": "resnet18",
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"pretrained_backbone_weights": "ResNet18_Weights.IMAGENET1K_V1",
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"replace_final_stride_with_dilation": 0,
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"pre_norm": false,
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"dim_model": 512,
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"n_heads": 8,
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},
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"output_dir": "outputs/train/training_v1",
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"job_name": "act_so101_test",
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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": 16,
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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/training_v1/checkpoints/last"
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}
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