Instructions to use Ev3Dev/sock_act with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use Ev3Dev/sock_act with LeRobot:
- Notebooks
- Google Colab
- Kaggle
Upload policy weights, train config and readme
Browse files- README.md +2 -2
- config.json +2 -2
- model.safetensors +1 -1
- train_config.json +6 -6
README.md
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---
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datasets: Ev3Dev/
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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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- lerobot
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- act
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- robotics
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---
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# Model Card for act
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---
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datasets: Ev3Dev/human_sock_agi
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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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- act
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- robotics
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- lerobot
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---
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# Model Card for act
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config.json
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"observation.images.
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"type": "VISUAL",
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"observation.images.camera1": {
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"type": "VISUAL",
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"observation.images.camera2": {
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"type": "VISUAL",
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"shape": [
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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 206699736
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version https://git-lfs.github.com/spec/v1
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oid sha256:e382f8e242e086ac3d87564e8a2049ef6543c131122a299f1aa328e8a6b58ce4
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size 206699736
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train_config.json
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{
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"dataset": {
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"repo_id": "Ev3Dev/
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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": "
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"resume": false,
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"seed": 1000,
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"num_workers": 4,
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"batch_size": 64,
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"steps":
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"eval_freq": 20000,
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"log_freq": 200,
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"save_checkpoint": true,
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{
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"dataset": {
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"repo_id": "Ev3Dev/human_sock_agi",
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"root": null,
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"episodes": null,
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"image_transforms": {
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"observation.images.camera1": {
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"observation.images.camera2": {
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"type": "VISUAL",
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"shape": [
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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_so101_sock_6ksteps",
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"job_name": "act_so101_sock_6ksteps",
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"resume": false,
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"seed": 1000,
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"num_workers": 4,
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"batch_size": 64,
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"steps": 6000,
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"eval_freq": 20000,
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"log_freq": 200,
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"save_checkpoint": true,
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