Instructions to use ar0s/groot_libero with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use ar0s/groot_libero with LeRobot:
- Notebooks
- Google Colab
- Kaggle
Upload policy weights, train config and readme
Browse files- README.md +1 -1
- model.safetensors +1 -1
- train_config.json +4 -4
README.md
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pipeline_tag: robotics
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tags:
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- groot
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- lerobot
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- robotics
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---
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# Model Card for groot
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pipeline_tag: robotics
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tags:
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- groot
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- robotics
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- lerobot
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---
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# Model Card for groot
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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 6964802952
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version https://git-lfs.github.com/spec/v1
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oid sha256:eef1f76a09edf4d0a96d9ebde75fa5b51413786fa3df33858b41dc03dc43844a
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size 6964802952
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train_config.json
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"root": null,
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"episodes": null,
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"image_transforms": {
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"enable":
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"max_num_transforms": 3,
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"random_order": false,
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"tfs": {
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},
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"env": {
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"type": "libero",
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"task": "
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"fps": 10,
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"features": {
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"action": {
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"report_to": "wandb",
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"resume": false
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},
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"output_dir": "outputs/train/2026-03-
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"job_name": "libero_groot",
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"resume": false,
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"seed": 1000,
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"project": "lerobot",
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"entity": null,
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"notes": null,
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"run_id": "
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"mode": null
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},
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"peft": null,
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"root": null,
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"episodes": null,
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"image_transforms": {
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"enable": true,
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"max_num_transforms": 3,
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"random_order": false,
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"tfs": {
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},
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"env": {
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"type": "libero",
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"task": "libero_goal",
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"fps": 10,
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"features": {
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"action": {
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"report_to": "wandb",
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"resume": false
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},
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"output_dir": "outputs/train/2026-03-25/15-21-50_libero_groot",
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"job_name": "libero_groot",
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"resume": false,
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"seed": 1000,
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"project": "lerobot",
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"entity": null,
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"notes": null,
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"run_id": "t0zsyk27",
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"mode": null
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},
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"peft": null,
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