Instructions to use Wolvered/act_aloha_insertion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use Wolvered/act_aloha_insertion with LeRobot:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Download checkpoints/070000/training_state/training_step.json from Wolvered/act_aloha_insertion: direct link, hf CLI and curl.
- Browser
- Download file 254 Bytes
-
https://huggingface.co/Wolvered/act_aloha_insertion/resolve/main/checkpoints/070000/training_state/training_step.json
- Command line
-
hf download hf://Wolvered/act_aloha_insertion/checkpoints/070000/training_state/training_step.json
-
curl -L -o training_step.json https://huggingface.co/Wolvered/act_aloha_insertion/resolve/main/checkpoints/070000/training_state/training_step.json
254 Bytes
| { | |
| "step": 70000, | |
| "dp_world_size": 1, | |
| "batch_size": 8, | |
| "grad_accum_steps": 1, | |
| "mixed_precision": "no", | |
| "parallelism": { | |
| "dp_replicate": 1, | |
| "dp_shard": 1, | |
| "ring_degree": 1, | |
| "ulysses_degree": 1 | |
| } | |
| } |