Reinforcement Learning
Transformers
Safetensors
fga_navigation
visual-navigation
factor-graph-attention
Instructions to use Idan/fga-navigation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Idan/fga-navigation with Transformers:
# Load model directly from transformers import NavigationPolicy model = NavigationPolicy.from_pretrained("Idan/fga-navigation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "action_space": 6, | |
| "architectures": [ | |
| "NavigationPolicy" | |
| ], | |
| "attention_dim": 64, | |
| "dropout": 0.0, | |
| "dtype": "float32", | |
| "grid_size": 49, | |
| "hidden_size": 512, | |
| "model_type": "fga_navigation", | |
| "num_target_tokens": 1, | |
| "observation_dim": 512, | |
| "target_dim": 300, | |
| "transformers_version": "5.14.1" | |
| } | |