Instructions to use author31/tiny-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use author31/tiny-diffusion with LeRobot:
- Notebooks
- Google Colab
- Kaggle
Upload policy weights, train config and readme
Browse files- README.md +2 -2
- config.json +1 -1
- train_config.json +6 -6
README.md
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---
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datasets: author31/
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library_name: lerobot
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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 Card for diffusion
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datasets: author31/HCIS-Final-fixed
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library_name: lerobot
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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 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": "base-model/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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train_config.json
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{
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"dataset": {
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"repo_id": "author31/
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"root": null,
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"episodes": null,
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"image_transforms": {
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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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"scheduler_name": "cosine",
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"scheduler_warmup_steps": 500
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},
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"output_dir": "outputs/train/
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"job_name": "lerobot-cup-stacking-twoviews",
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"resume":
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"seed": 1000,
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"cudnn_deterministic": false,
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"num_workers": 8,
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"batch_size":
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"steps": 100000,
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"eval_freq": 20000,
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"log_freq": 100,
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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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{
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"dataset": {
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"repo_id": "author31/HCIS-Final-fixed",
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"root": null,
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"episodes": null,
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"image_transforms": {
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"private": null,
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"tags": null,
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"license": null,
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"pretrained_path": "base-model/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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"scheduler_name": "cosine",
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"scheduler_warmup_steps": 500
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},
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"output_dir": "outputs/train/finetune",
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"job_name": "lerobot-cup-stacking-twoviews",
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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": 8,
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"batch_size": 128,
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"steps": 100000,
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"eval_freq": 20000,
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"log_freq": 100,
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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": "base-model"
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}
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