Other
Transformers
Safetensors
PyTorch
English
vision-language-action
humanoid-robotics
telepathy
multimodal
robotics-control
lora
Instructions to use Veltraxor/Sigma with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Veltraxor/Sigma with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Veltraxor/Sigma", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "dataset_id": "lerobot/svla_so101_pickplace", | |
| "num_episodes": 50, | |
| "num_steps_seen": 11939, | |
| "num_samples_total": 723, | |
| "num_samples_written": 723, | |
| "num_samples_skipped": 0, | |
| "num_windows_kept": 723, | |
| "num_windows_dropped": 0, | |
| "horizon_T": 16, | |
| "shard_size": 256, | |
| "split": "train", | |
| "revision": "refs/convert/parquet", | |
| "prefetch": true, | |
| "prefetch_max_workers": 1, | |
| "prefetch_retries": 10, | |
| "max_item_retries": 8, | |
| "camera": "top", | |
| "min_action_norm": 0.0, | |
| "next_shard_id": 3 | |
| } |