Robotics
Transformers
Safetensors
dm05
text-generation
vision-language-action
opendm
robochallenge
ur5
Instructions to use Dexmal/DM05-Table30v2-UR5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dexmal/DM05-Table30v2-UR5 with Transformers:
# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("Dexmal/DM05-Table30v2-UR5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "norm_stats": { | |
| "action": { | |
| "mean": [ | |
| 0.0004423256905283779, | |
| 0.00018080338486470282, | |
| 8.564042946090922e-05, | |
| 6.956886977604881e-07, | |
| 7.526426770709804e-07, | |
| -9.828715519688558e-06, | |
| 0.0629488080739975 | |
| ], | |
| "std": [ | |
| 0.03512553870677948, | |
| 0.09563835710287094, | |
| 0.05166035518050194, | |
| 0.02621585503220558, | |
| 0.005984467454254627, | |
| 0.11565561592578888, | |
| 0.029000507667660713 | |
| ], | |
| "q01": [ | |
| -0.12197458580136297, | |
| -0.25539188146591185, | |
| -0.14147202789783478, | |
| -0.032570807456970385, | |
| -0.008781191036105168, | |
| -0.3779878115653992, | |
| 0.00037400000393390657 | |
| ], | |
| "q99": [ | |
| 0.12238460138440133, | |
| 0.2642360597848893, | |
| 0.15217145255208014, | |
| 0.05468669986724839, | |
| 0.009103873777389526, | |
| 0.370531621170044, | |
| 0.08498300089389085 | |
| ] | |
| } | |
| } | |
| } | |