Instructions to use AlexWortega/tinyvla-microduck-stage25 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use AlexWortega/tinyvla-microduck-stage25 with LeRobot:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Microduck
How to use AlexWortega/tinyvla-microduck-stage25 with Microduck:
# Replace SLOT with the slot specified in the model card (walk, stand, sitstand, ground_pick, kick_left, kick_right, roulade). sudo robotctl policy load SLOT AlexWortega/tinyvla-microduck-stage25
- Notebooks
- Google Colab
- Kaggle
Download offline_eval.json from AlexWortega/tinyvla-microduck-stage25: direct link, hf CLI and curl.
- Browser
- Download file 1.74 kB
-
https://huggingface.co/AlexWortega/tinyvla-microduck-stage25/resolve/main/offline_eval.json
- Command line
-
hf download hf://AlexWortega/tinyvla-microduck-stage25/offline_eval.json
-
curl -L -o offline_eval.json https://huggingface.co/AlexWortega/tinyvla-microduck-stage25/resolve/main/offline_eval.json
1.74 kB
| { | |
| "checkpoint": "/mnt/storage/openduck/outputs-v2/stage25/final", | |
| "samples": 90, | |
| "rmse_normalized": 0.8554556994099709, | |
| "zero_baseline_rmse_normalized": 0.919140869883362, | |
| "omitted_behaviors": [ | |
| "recovery", | |
| "recovery_roller" | |
| ], | |
| "note": "Task-only offline validation omits dedicated recovery buckets; recovery is evaluated in closed-loop MuJoCo.", | |
| "per_behavior": { | |
| "stand": { | |
| "samples": 10, | |
| "rmse_normalized": 0.24385906588030556, | |
| "zero_baseline_rmse_normalized": 0.3640341016404326 | |
| }, | |
| "walking": { | |
| "samples": 10, | |
| "rmse_normalized": 0.4910737846813405, | |
| "zero_baseline_rmse_normalized": 0.4431173574421542 | |
| }, | |
| "sitstand": { | |
| "samples": 10, | |
| "rmse_normalized": 0.9608649322011251, | |
| "zero_baseline_rmse_normalized": 0.8896771247285984 | |
| }, | |
| "ground_pick": { | |
| "samples": 10, | |
| "rmse_normalized": 0.13068257688003773, | |
| "zero_baseline_rmse_normalized": 0.8466632442741323 | |
| }, | |
| "kick_left": { | |
| "samples": 10, | |
| "rmse_normalized": 0.22309199308487884, | |
| "zero_baseline_rmse_normalized": 0.21911552749812585 | |
| }, | |
| "kick_right": { | |
| "samples": 10, | |
| "rmse_normalized": 1.9734949861197915, | |
| "zero_baseline_rmse_normalized": 0.9568364825500372 | |
| }, | |
| "roller": { | |
| "samples": 10, | |
| "rmse_normalized": 0.6331354384663949, | |
| "zero_baseline_rmse_normalized": 0.6308232484956733 | |
| }, | |
| "roller_crouch": { | |
| "samples": 10, | |
| "rmse_normalized": 0.2050697831929071, | |
| "zero_baseline_rmse_normalized": 1.748523891169655 | |
| }, | |
| "roulade": { | |
| "samples": 10, | |
| "rmse_normalized": 0.9787305175534854, | |
| "zero_baseline_rmse_normalized": 1.1607412095520928 | |
| } | |
| } | |
| } |