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
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| DM05-libero | LIBERO fine-tuned DM0.5 model for evaluation | [🤗 Dexmal/DM05-libero](https://huggingface.co/Dexmal/DM05-libero) | [Training & Evaluation](https://github.com/dexmal/opendm/blob/main/docs/en/dm05_libero.md) |
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| DM05-robotwin2 | RoboTwin2.0 fine-tuned DM0.5 model for evaluation | [🤗 Dexmal/DM05-robotwin2](https://huggingface.co/Dexmal/DM05-robotwin2) | [Training & Evaluation](https://github.com/dexmal/opendm/blob/main/docs/en/dm05_robotwin2.md) |
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| DM05-SO101-Pick-Cube | SO101 fine-tuned DM0.5 model for evaluation | [🤗 Dexmal/DM05-SO101-Pick-Cube](https://huggingface.co/Dexmal/DM05-SO101-Pick-Cube) |
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## Quick Start
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| DM05-libero | LIBERO fine-tuned DM0.5 model for evaluation | [🤗 Dexmal/DM05-libero](https://huggingface.co/Dexmal/DM05-libero) | [Training & Evaluation](https://github.com/dexmal/opendm/blob/main/docs/en/dm05_libero.md) |
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| DM05-robotwin2 | RoboTwin2.0 fine-tuned DM0.5 model for evaluation | [🤗 Dexmal/DM05-robotwin2](https://huggingface.co/Dexmal/DM05-robotwin2) | [Training & Evaluation](https://github.com/dexmal/opendm/blob/main/docs/en/dm05_robotwin2.md) |
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| DM05-SO101-Pick-Cube | SO101 Pick Cube fine-tuned DM0.5 model for real-robot evaluation | [🤗 Dexmal/DM05-SO101-Pick-Cube](https://huggingface.co/Dexmal/DM05-SO101-Pick-Cube) | [LoRA SFT Training Guide](https://github.com/dexmal/opendm/blob/main/docs/en/dm05_so101_lora_training.md) |
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## Quick Start
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