Robotics
Transformers
Safetensors
English
anchor-align
vla
libero
qwen2.5
lora
vision-language-action
robot-learning
robot-manipulation
embodied-ai
behavior-cloning
imitation-learning
continual-learning
catastrophic-forgetting
out-of-distribution-generalization
ood-generalization
knowledge-distillation
language-action-alignment
representation-anchoring
vlm-finetuning
prismatic
openvla
starvla
libero-pro
libero-plus
calvin
xarm7
Instructions to use Dwipz/Anchor-Align with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dwipz/Anchor-Align with Transformers:
# Load model directly from transformers import AnchorAlign model = AnchorAlign.from_pretrained("Dwipz/Anchor-Align", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "model_type": "anchor-align", | |
| "architectures": ["AnchorAlign"], | |
| "_comment": "This root config.json exists so the Hub counts downloads. Per-variant configs live in libero-spatial/, libero-object/, libero-goal/, and libero-long/." | |
| } | |