Instructions to use lerobot/diffusion_pusht with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lerobot/diffusion_pusht with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lerobot/diffusion_pusht", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download eval_pc_success.csv from lerobot/diffusion_pusht: direct link, hf CLI and curl.
- Browser
- Download file 236 Bytes
-
https://huggingface.co/lerobot/diffusion_pusht/resolve/refs%2Fpr%2F1/eval_pc_success.csv
- Command line
-
hf download hf://lerobot/diffusion_pusht@refs/pr/1/eval_pc_success.csv
-
curl -L -o eval_pc_success.csv https://huggingface.co/lerobot/diffusion_pusht/resolve/refs%2Fpr%2F1/eval_pc_success.csv
236 Bytes
| Step,diffusion_pusht_final - eval/pc_success | |
| 10000,12 | |
| 20000,58 | |
| 30000,52 | |
| 40000,66 | |
| 50000,66 | |
| 60000,66 | |
| 70000,64 | |
| 80000,70 | |
| 90000,68 | |
| 100000,68 | |
| 110000,70 | |
| 120000,58 | |
| 130000,70 | |
| 140000,74 | |
| 150000,74 | |
| 160000,64 | |
| 170000,64 | |
| 180000,70 | |
| 190000,64 | |
| 200000,62 | |