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This repository contains a U-Net model trained for gastrointestinal polyp segmentation on the Angelou0516/kvasir-seg dataset.
Works best at 0.75 weight.
Works best at 1.2 weight.
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
Download them in the Files & versions tab.
Trained on anima base v1 Trigger @gr4v1c1us may not be needed
Hugging Face | GitHub | Launch Blog | Documentation
Single-class detection model for Gray Wolf, fine-tuned from the Ultralytics YOLO26s backbone (pretrained on COCO).
nvidia-open-model-agreement
Works best at 0.75 weight.
This model is a 14.75% smaller version of google/siglip2-giant-opt-patch16-384 optimized for Finnish language via vocabulary size reduction using the trimming method. This trimmed model should perform similarly to...
