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goal_gen/upload_hf_checkpoints.sh.
Each subfolder contains the deployment-ready pretrained_model/ payload
(model.safetensors + config.json + pre/postprocessor + train_config.json).| Subfolder | Train step | Final train loss |
|---|---|---|
checkpoint-050000 | 50,000 | — |
1from huggingface_hub import snapshot_download
2ckpt_dir = snapshot_download(
3 "JayCao99/dit-diffusion-xarm-place-flower-v0.0",
4 allow_patterns="checkpoint-050000/*",
5)
6# Then load with the appropriate LeRobot policy class, e.g.:
7# from lerobot.policies.multi_task_dit import MultiTaskDiTPolicy
8# policy = MultiTaskDiTPolicy.from_pretrained(f"{ckpt_dir}/checkpoint-050000")