Instructions to use wjstx/pick_tube_05_tactile_decoder_deploy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use wjstx/pick_tube_05_tactile_decoder_deploy with LeRobot:
# See https://github.com/huggingface/lerobot?tab=readme-ov-file#installation for more details git clone https://github.com/huggingface/lerobot.git cd lerobot pip install -e .[smolvla]
# Launch finetuning on your dataset python lerobot/scripts/train.py \ --policy.path=wjstx/pick_tube_05_tactile_decoder_deploy \ --dataset.repo_id=lerobot/svla_so101_pickplace \ --batch_size=64 \ --steps=20000 \ --output_dir=outputs/train/my_smolvla \ --job_name=my_smolvla_training \ --policy.device=cuda \ --wandb.enable=true
# Run the policy using the record function python -m lerobot.record \ --robot.type=so101_follower \ --robot.port=/dev/ttyACM0 \ # <- Use your port --robot.id=my_blue_follower_arm \ # <- Use your robot id --robot.cameras="{ front: {type: opencv, index_or_path: 8, width: 640, height: 480, fps: 30}}" \ # <- Use your cameras --dataset.single_task="Grasp a lego block and put it in the bin." \ # <- Use the same task description you used in your dataset recording --dataset.repo_id=HF_USER/dataset_name \ # <- This will be the dataset name on HF Hub --dataset.episode_time_s=50 \ --dataset.num_episodes=10 \ --policy.path=wjstx/pick_tube_05_tactile_decoder_deploy - Notebooks
- Google Colab
- Kaggle
Download tactile_encoder/encoder.json from wjstx/pick_tube_05_tactile_decoder_deploy: direct link, hf CLI and curl.
- Browser
- Download file 456 Bytes
-
https://huggingface.co/wjstx/pick_tube_05_tactile_decoder_deploy/resolve/main/tactile_encoder/encoder.json
- Command line
-
hf download hf://wjstx/pick_tube_05_tactile_decoder_deploy/tactile_encoder/encoder.json
-
curl -L -o encoder.json https://huggingface.co/wjstx/pick_tube_05_tactile_decoder_deploy/resolve/main/tactile_encoder/encoder.json
456 Bytes
| { | |
| "conversion_schema_version": 1, | |
| "fixed_image_count": 4, | |
| "mapped_key_count": 100, | |
| "max_abs_error": 2.415478229522705e-05, | |
| "max_abs_tolerance": 0.0002, | |
| "max_rel_error": 0.0, | |
| "max_rel_tolerance": 0.002, | |
| "output_sha256": "6d7dda1345c6a0dac388ebc1f57b58becabc0b4ce9a67118d376ca8d7f33051d", | |
| "source_revision": "450aa60963cde9540bd6c8047bf2529eff1def37", | |
| "source_sha256": "a070b4ca6f5fa6a22a73aeae06ce18c22a473bc621d09a5892659cf5c4891797" | |
| } | |