Robotics
Transformers
Safetensors
dm05
text-generation
robot-control
vision-language-action
vla
dm0.5
opendm
Instructions to use Dexmal/DM05 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dexmal/DM05 with Transformers:
# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("Dexmal/DM05", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 54b4375d7d02ae3fc5519a7bd5b6d702ae04197d18a83e29b318098ceb6d62cc
- Size of remote file:
- 23.3 GB
- SHA256:
- 76ca7d68d027074f5c554355a3ab92f347946e236fbe9330cb4f982151fe3352
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