72 lines
1.8 KiB
Python
72 lines
1.8 KiB
Python
#!/usr/bin/env python
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# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""
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Once you have trained a policy with our training script (lerobot/scripts/train.py), use this script to push it
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to the hub.
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Example:
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```bash
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python lerobot/scripts/push_pretrained.py \
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--pretrained_path=outputs/train/act_aloha_sim_transfer_cube_human/checkpoints/last/pretrained_model \
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--repo_id=lerobot/act_aloha_sim_transfer_cube_human
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```
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"""
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from dataclasses import dataclass
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from pathlib import Path
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import draccus
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from huggingface_hub import HfApi
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@dataclass
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class PushPreTrainedConfig:
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pretrained_path: Path
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repo_id: str
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branch: str | None = None
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private: bool = False
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exist_ok: bool = False
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@draccus.wrap()
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def main(cfg: PushPreTrainedConfig):
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hub_api = HfApi()
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hub_api.create_repo(
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repo_id=cfg.repo_id,
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private=cfg.private,
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repo_type="model",
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exist_ok=cfg.exist_ok,
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)
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if cfg.branch:
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hub_api.create_branch(
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repo_id=cfg.repo_id,
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branch=cfg.branch,
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repo_type="model",
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exist_ok=cfg.exist_ok,
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)
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hub_api.upload_folder(
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repo_id=cfg.repo_id,
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folder_path=cfg.pretrained_path,
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repo_type="model",
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revision=cfg.branch,
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)
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if __name__ == "__main__":
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main()
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