Instructions to use Lakesenberg/act_rebot_test_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use Lakesenberg/act_rebot_test_model with LeRobot:
- Notebooks
- Google Colab
- Kaggle
Upload policy weights, train config and readme
Browse files- README.md +2 -2
- model.safetensors +1 -1
- train_config.json +2 -2
README.md
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---
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datasets: Lakesenberg/
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library_name: lerobot
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license: apache-2.0
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model_name: act
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pipeline_tag: robotics
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tags:
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- robotics
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- lerobot
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- act
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---
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# Model Card for act
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datasets: Lakesenberg/Seeed_rebot_hackathon_oil_1
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library_name: lerobot
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license: apache-2.0
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model_name: act
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pipeline_tag: robotics
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tags:
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- robotics
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- act
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- lerobot
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---
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# Model Card for act
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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 206707932
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version https://git-lfs.github.com/spec/v1
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oid sha256:0258b7302bdbb0a52b2c09fcb4a4aff6ed6e3c1ab866b96c4ed9c63fd0db6e07
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size 206707932
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train_config.json
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{
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"dataset": {
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"repo_id": "Lakesenberg/
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"root": null,
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"episodes": null,
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"image_transforms": {
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"optimizer_weight_decay": 0.0001,
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"optimizer_lr_backbone": 1e-05
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},
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"output_dir": "outputs/train/
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"job_name": "act_rebot_test",
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"resume": false,
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"seed": 1000,
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{
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"dataset": {
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"repo_id": "Lakesenberg/Seeed_rebot_hackathon_oil_1",
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"root": null,
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"episodes": null,
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"image_transforms": {
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"optimizer_weight_decay": 0.0001,
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"optimizer_lr_backbone": 1e-05
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},
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"output_dir": "outputs/train/act_rebot_oil",
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"job_name": "act_rebot_test",
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"resume": false,
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"seed": 1000,
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