Instructions to use kejia98/ditflow with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use kejia98/ditflow with LeRobot:
- Notebooks
- Google Colab
- Kaggle
Upload policy weights, train config and readme
Browse files- README.md +3 -3
- config.json +1 -1
- model.safetensors +2 -2
- train_config.json +5 -5
README.md
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---
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datasets: aic-cable-insertion-tele-
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library_name: lerobot
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license: apache-2.0
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model_name: ditflow
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pipeline_tag: robotics
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tags:
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- robotics
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- ditflow
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- lerobot
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---
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# Model Card for ditflow
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---
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datasets: kejia98/aic-cable-insertion-tele-v180-state-processed_state_filtered
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library_name: lerobot
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license: apache-2.0
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model_name: ditflow
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pipeline_tag: robotics
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tags:
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- lerobot
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- ditflow
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- robotics
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---
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# Model Card for ditflow
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config.json
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"observation.state": {
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"type": "STATE",
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"shape": [
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-
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]
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},
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"observation.images.left_camera": {
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"observation.state": {
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"type": "STATE",
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"shape": [
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]
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},
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"observation.images.left_camera": {
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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
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version https://git-lfs.github.com/spec/v1
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oid sha256:f311a81c250e6f985bf233a58ccbaf853a310405e88f627a6b1b792be2f04623
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size 257794352
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train_config.json
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{
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"dataset": {
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"repo_id": "aic-cable-insertion-tele-
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"root": "datasets/aic-cable-insertion-tele-
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"episodes": null,
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"image_transforms": {
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"enable": false,
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"observation.state": {
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"type": "STATE",
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"shape": [
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]
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},
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"observation.images.left_camera": {
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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/
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"job_name": "ditflow",
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"resume": false,
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"seed": 1000,
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"project": "AICChallenge",
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"entity": null,
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"notes": null,
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"run_id": "
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"mode": "online",
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"add_tags": true
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},
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{
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"dataset": {
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"repo_id": "kejia98/aic-cable-insertion-tele-v180-state-processed_state_filtered",
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"root": "datasets/aic-cable-insertion-tele-v180-state-processed_state_filtered",
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"episodes": null,
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"image_transforms": {
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"enable": false,
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"observation.state": {
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"type": "STATE",
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"shape": [
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]
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},
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"observation.images.left_camera": {
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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/ditflow_tared_wrench_tele-v180_state_processed",
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"job_name": "ditflow",
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"resume": false,
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"seed": 1000,
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"project": "AICChallenge",
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"entity": null,
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"notes": null,
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"run_id": "wqukmai7",
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"mode": "online",
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"add_tags": true
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},
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