Robotics
Transformers
Safetensors
English
prts_qwen3_vl
image-feature-extraction
vision-language-action
vla
libero
qwen3-vl
prts
custom_code
Instructions to use TeleEmbodied/PRTS-4B-LIBERO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TeleEmbodied/PRTS-4B-LIBERO with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("TeleEmbodied/PRTS-4B-LIBERO", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1802f5f6e327a321a89eff2cc8b45022ac44bc2e47d04cef6d565d4590b94c86
- Size of remote file:
- 10.1 kB
- SHA256:
- cb6e322ff4c32859f3014cdd5e49182ec932f2b10cc2e365df3439522af926a7
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