File size: 1,146 Bytes
06e2ca7 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 | from __future__ import annotations
import argparse
from pathlib import Path
import torch
from huggingface_hub import snapshot_download
from safetensors.torch import load_file
from repostguard.config import load_config
from repostguard.models import build_model
def main() -> None:
parser = argparse.ArgumentParser()
parser.add_argument("--revision", default="v1.0.0")
parser.add_argument("--device", default="cpu")
args = parser.parse_args()
root = Path(
snapshot_download(
repo_id="LLL640/RepostGuard-Lite-M2-train-v3",
revision=args.revision,
)
)
config = load_config(root / "resolved_config.yaml")
model = build_model(config, load_pretrained=False)
model.load_state_dict(load_file(root / "model.safetensors"), strict=True)
model = model.to(args.device).eval()
# Replace this tensor with repository preprocessing for a real RGB image.
image = torch.zeros(1, 3, 224, 224, device=args.device)
with torch.inference_mode():
score = torch.sigmoid(model(image)["logits"])
print(float(score.item()))
if __name__ == "__main__":
main()
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