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Base model: Wan Video 14B t2v Trained words: photo background, real world location
A Hindi LoRA adapter for Qwen3-TTS-0.6B, post-trained with GRPO (reinforcement learning) on top of the supervised akashicmarga/qwen3-tts-hindi-lora (SFT) adapter.
Works best at 0.75 weight.
> Model from the paper: An OpenMind for 3D medical vision self-supervised learning > Pre-training codebase used to create checkpoint: MIC-DKFZ/nnssl > Dataset: AnonRes/OpenMind > Downstream (segmentation)...
This model is part of the KD-OCT project, which provides a framework for efficient, clinical-grade retinal Optical Coherence Tomography (OCT) image classification. It was introduced in the paper KD-OCT: Efficient...
TL;DR: VesselFM is a foundation model for universal 3D blood vessel segmentation in arbitrary imaging domains. For details, please refer to our manuscript and our GitHub repo.
Trained on Anima with 88 pictures. Best result with weight between : 0.8.
Works best at 0.95 weight.
Originally posted to HuggingFace by sd-concepts-library
Only trained 14 steps with dimbatch=14 to fit 140gb vram
RF-DETR is a real-time detection transformer family introduced in RF-DETR: Neural Architecture Search for Real-Time Detection Transformers by Robinson et al. and integrated in 🤗 Transformers via PR #36895.
Due to the damn site policy, if you wanna see all of my LoRA, you need to turn off X and XXX visible(Or turn on)
