Instructions to use HIT-Robotics/dummy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use HIT-Robotics/dummy with LeRobot:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
File size: 3,775 Bytes
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"type": "molmoact2",
"n_obs_steps": 1,
"input_features": {
"observation.state": {
"type": "STATE",
"shape": [
7
]
},
"observation.images.wrist_cam": {
"type": "VISUAL",
"shape": [
3,
480,
640
]
},
"observation.images.top_cam": {
"type": "VISUAL",
"shape": [
3,
480,
640
]
}
},
"output_features": {
"action": {
"type": "ACTION",
"shape": [
7
]
}
},
"device": "cuda",
"use_amp": false,
"use_peft": false,
"push_to_hub": true,
"repo_id": "HIT-Robotics/dummy",
"private": null,
"tags": null,
"license": null,
"pretrained_path": null,
"pretrained_revision": null,
"checkpoint_path": "allenai/MolmoAct2",
"checkpoint_revision": null,
"checkpoint_force_download": false,
"chunk_size": 30,
"n_action_steps": 30,
"action_mode": "continuous",
"inference_action_mode": null,
"discrete_action_tokenizer": "allenai/MolmoAct2-FAST-Tokenizer",
"discrete_generation_max_steps": null,
"norm_tag": null,
"setup_type": "single ur5e robotic arm",
"control_mode": "delta end-effector pose",
"image_keys": [
"observation.images.top_cam",
"observation.images.wrist_cam"
],
"normalize_language": true,
"add_setup_tokens": true,
"add_control_tokens": true,
"normalize_gripper": false,
"num_state_tokens": 256,
"max_sequence_length": null,
"expected_max_action_dim": 32,
"num_flow_timesteps": 8,
"flow_matching_cutoff": 1.0,
"flow_matching_time_offset": 0.001,
"flow_matching_time_scale": 0.999,
"flow_matching_beta_alpha": 1.0,
"flow_matching_beta_beta": 1.5,
"num_inference_steps": null,
"mask_action_dim_padding": true,
"enable_inference_cuda_graph": true,
"per_episode_seed": false,
"eval_seed": null,
"rtc_config": null,
"joint_signs": null,
"joint_offsets": null,
"enable_lora_vlm": true,
"lora_rank": 64,
"lora_alpha": 16,
"lora_dropout": 0.05,
"lora_bias": "none",
"enable_lora_action_expert": false,
"enable_knowledge_insulation": false,
"freeze_embedding": true,
"train_action_expert_only": false,
"gradient_checkpointing": true,
"model_dtype": "bfloat16",
"softmax_auxiliary_loss": true,
"softmax_auxiliary_loss_scale": 0.0001,
"discrete_loss_token_weighting": "root_subsegments_root_tokens",
"optimizer_lr": 1e-05,
"optimizer_vit_lr": 5e-06,
"optimizer_connector_lr": 5e-06,
"optimizer_action_expert_lr": 5e-05,
"optimizer_betas": [
0.9,
0.95
],
"optimizer_eps": 1e-06,
"optimizer_weight_decay": 0.0,
"optimizer_grad_clip_norm": 1.0,
"scheduler_warmup_steps": 200,
"scheduler_decay_steps": 8000,
"scheduler_decay_lr": 1e-06,
"normalization_mapping": {
"VISUAL": "IDENTITY",
"STATE": "QUANTILES",
"ACTION": "QUANTILES"
},
"dataset_feature_names": {
"action": [
"delta_x.pos",
"delta_y.pos",
"delta_z.pos",
"delta_rx.pos",
"delta_ry.pos",
"delta_rz.pos",
"gripper.pos"
],
"observation.state": [
"shoulder_pan_joint.pos",
"shoulder_lift_joint.pos",
"elbow_joint.pos",
"wrist_1_joint.pos",
"wrist_2_joint.pos",
"wrist_3_joint.pos",
"robotiq_hande_left_finger_joint.pos"
]
}
} |