U-Net missing? #960

from libreyolo import LibreYOLO
model = LibreYOLO("LibreUNets-sem.pt")

   model = LibreYOLO("LibreUNets-sem.pt")
            ^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\user\miniconda3\libreyolo_1\Lib\site-packages\libreyolo\models\__init__.py", line 464, in LibreYOLO
    raise ValueError(
ValueError: Model weights file not found: weights\LibreUNets-sem.pt
Cannot auto-download: unable to determine size from filename.
Please specify size explicitly or provide a valid weights file path.

  model = LibreYOLO(model_weights)
            ^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\user\miniconda3\envs\libreyolo_1\Lib\site-packages\libreyolo\models\__init__.py", line 634, in LibreYOLO
    raise ValueError(
ValueError: Could not detect model architecture from state dict keys.
Registered model families: alexnet, birefnet, centernet, clip, convnext, deeplabv3, deformable_detr, deim, deimv2, deit, depth_anything, depth_anything3, detr, dexined, dfine, dinodetr, domedetr, ec, efficientdet, efficientnetv2, eomt, faster_rcnn, fcn, fcos, feynobg, fomo, hrnet, l2cs, lingbotvision, lwdetr, mask_rcnn, midas, mobilenetv4, moge2, nafnet, picodet, pidnet, ppocr, realesrgan, resnet, retinanet, rtdetr, rtdetrv2, rtdetrv4, rtmdet, segformer, siglip2, ssd, swin, swinir, teed, vgg, vit, yolo1, yolo2, yolo3, yolo4, yolo7, yolo9, yolo9_e2e, yolo9_p2, yolonas, yolox, zipdepth.

from libreyolo import LibreUNet

# Random initialization: this trains from scratch.
model = LibreUNet(size="s", device="cpu")
# Replace with your semantic segmentation dataset YAML (image/mask pairs).
model.train(data="path/to/your/semantic_dataset.yaml", pretrained=False, epochs=1, device="cpu", workers=0)