Files
lerobot/prepend.py
T
Jade Choghari 39260a581a update files
2025-11-15 16:41:23 +01:00

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1017 B
Python

#!/usr/bin/env python3
import safetensors.torch as st
import torch
import argparse
import os
def prefix_state_dict(input_path, output_path, prefix="model."):
# Load original checkpoint
state_dict = st.load_file(input_path)
print(f"Loaded {len(state_dict)} tensors from {input_path}")
# Add prefix to every key
new_state_dict = {f"{prefix}{k}": v for k, v in state_dict.items()}
print(f"Writing prefixed checkpoint with {len(new_state_dict)} keys...")
st.save_file(new_state_dict, output_path)
print(f"Saved to {output_path}")
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--input", type=str, required=True, help="Path to model.safetensors")
parser.add_argument("--output", type=str, required=True, help="Output prefixed model.safetensors")
parser.add_argument("--prefix", type=str, default="model.", help="Prefix to add to each key")
args = parser.parse_args()
prefix_state_dict(args.input, args.output, args.prefix)