Robotics
Transformers
Safetensors
English
prts_qwen3_vl
feature-extraction
vision-language-action
vla
contrastive-reinforcement-learning
goal-conditioned-rl
qwen3-vl
prts
custom_code
Instructions to use TeleEmbodied/PRTS-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TeleEmbodied/PRTS-4B with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("TeleEmbodied/PRTS-4B", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b00874bed246883e7f44232677ce6cbc842c286a7fa7f96f9263f4656b469280
- Size of remote file:
- 11.8 MB
- SHA256:
- 5482df2482307db564c0595428d3dfdad4bf5dbd9d3d5156052ca12f93b7d3ed
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