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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c574e1a9c4f64c283b4d42bcd450d3f2c4b967d6665b2862110b5bf7428e7139
- Size of remote file:
- 86.8 MB
- SHA256:
- 7d7ac6b1a6bec177ed4fa783b25a6f92dde5ec0defcbbfc27ecd5870a6a9afaf
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