Upload LoRA adapter

cifar10_final_model.pth

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+version https://git-lfs.github.com/spec/v1
+oid sha256:c73f29fd7cde047e84a574644785dbc0f984d6b74afc0c00d33adbbf257df674
+size 17184679

upload.py

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+import argparse
+import os
+from huggingface_hub import HfApi
+
+
+def main() -> None:
+    parser = argparse.ArgumentParser(description="Upload a folder to Hugging Face Hub")
+    parser.add_argument("--local_dir", type=str, required=True, help="Local adapter directory, e.g. ./lora_area_1p5b")
+    parser.add_argument("--repo_id", type=str, required=True, help="Target repo id, e.g. yourname/Qwen2.5-1.5B-MetRex-Area-LoRA")
+    parser.add_argument("--private", action="store_true", help="Create private repo")
+    parser.add_argument("--commit_message", type=str, default="Upload LoRA adapter")
+    args = parser.parse_args()
+
+    if not os.path.isdir(args.local_dir):
+        raise FileNotFoundError(f"local_dir does not exist: {args.local_dir}")
+
+    token = os.environ.get("HF_TOKEN")
+    if not token:
+        raise EnvironmentError("HF_TOKEN is not set. Export your Hugging Face token first.")
+
+    api = HfApi(token=token)
+    api.create_repo(repo_id=args.repo_id, private=args.private, exist_ok=True)
+    api.upload_folder(
+        repo_id=args.repo_id,
+        folder_path=args.local_dir,
+        commit_message=args.commit_message,
+        ignore_patterns=["checkpoint-*", "*.log", "logs/*"],
+    )
+
+    print(f"Upload completed: https://huggingface.co/{args.repo_id}")
+
+
+if __name__ == "__main__":
+    main()
+