Robotics
Transformers
Safetensors
dm05
text-generation
vision-language-action
opendm
robochallenge
aloha
Instructions to use Dexmal/DM05-Table30v2-ALOHA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dexmal/DM05-Table30v2-ALOHA with Transformers:
# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("Dexmal/DM05-Table30v2-ALOHA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "norm_stats": { | |
| "action": { | |
| "mean": [ | |
| 0.0003156047517092832, | |
| -0.009983721471923803, | |
| 0.009025613311678171, | |
| 0.0019069522760608898, | |
| -0.004799804409101073, | |
| -0.0005228487924406571, | |
| 0.02950701569872243, | |
| -0.0007812641945617672, | |
| -0.0070347592752243926, | |
| 0.00649858644672869, | |
| -0.002077137058742145, | |
| -0.0030848302901306723, | |
| 0.0012249796241771296, | |
| 0.019362606507326876 | |
| ], | |
| "std": [ | |
| 0.12911982355373247, | |
| 0.461860362972532, | |
| 0.3358769587108067, | |
| 0.22345335142953054, | |
| 0.25244657908167156, | |
| 0.2545914075204304, | |
| 0.031632272260529656, | |
| 0.20039757234709604, | |
| 0.4743353383881705, | |
| 0.3525055008275168, | |
| 0.26029029169252943, | |
| 0.28409295635563986, | |
| 0.28736460528203417, | |
| 0.03158346297485488 | |
| ], | |
| "q01": [ | |
| -0.6986630672216415, | |
| -1.8896073577880859, | |
| -1.370318426847458, | |
| -1.5593994486808775, | |
| -1.0606587034225463, | |
| -1.4935129487991334, | |
| -0.0011185001127887518, | |
| -0.7602261974334716, | |
| -1.6147857309341431, | |
| -1.4678331886291505, | |
| -1.3088018653154374, | |
| -1.0542876019477845, | |
| -1.4584299195289614, | |
| -0.0008150400042533875 | |
| ], | |
| "q99": [ | |
| 0.8207672545433042, | |
| 1.9025633745193478, | |
| 1.5647131824493408, | |
| 1.2214772961616518, | |
| 1.0601321420669558, | |
| 1.7009228188514713, | |
| 0.10658449942152948, | |
| 0.7855643741130827, | |
| 1.9268000293731689, | |
| 1.2471406894683836, | |
| 1.2280305833816527, | |
| 1.7461841750144957, | |
| 1.4310149087905888, | |
| 0.10509151641707867 | |
| ] | |
| } | |
| } | |
| } | |