Robotics
Transformers
Safetensors
dm05
text-generation
robot-control
vision-language-action
vla
dm0.5
vla-arena
opendm
Instructions to use Dexmal/DM05-Vla-Arena with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dexmal/DM05-Vla-Arena with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("Dexmal/DM05-Vla-Arena", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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```bash
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git clone https://github.com/PKU-Alignment/VLA-Arena
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cd VLA-Arena
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mkdir -p vla_arena/models/DM05
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# Copy evaluation files from the OpenDM repository
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```bash
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git clone https://github.com/PKU-Alignment/VLA-Arena
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cd VLA-Arena
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```
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Install the VLA-Arena dependencies:
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```bash
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sudo apt-get install -y libosmesa6-dev libglfw3 libgl1-mesa-glx libglib2.0-0
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pip install robosuite==1.5.1 bddl numpy==1.26.4 requests tqdm pyyaml "imageio[ffmpeg]" pillow
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pip install -e .
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export MUJOCO_GL=osmesa
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```
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Copy the evaluation files from the OpenDM repository:
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```bash
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mkdir -p vla_arena/models/DM05
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# Copy evaluation files from the OpenDM repository
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