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Mert Bozkurt

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reacted to RiverZ's post with 🤗 1 day ago
🔥 We're thrilled to share some exciting news about ICEdit! Currently, ICEdit app (https://huggingface.co/spaces/RiverZ/ICEdit) has soared to the second place on the weekly trend list of Hugging Face Space, just trailing behind Qwen3. What's more, it also holds the second position on the overall space trend list. This achievement wouldn't have been possible without your incredible support and love. A huge thank you to each and every one of you❤! 🎉 The ICEdit community has been incredibly active, and we've seen a plethora of amazing ComfyUI workflows being shared. For instance, with the help of ComfyUI - nunchaku, you can run ICEdit locally with just 4GB of VRAM. This makes it much more accessible for those with limited hardware resources. 🎇 If you're interested in the detailed information, please head over to our repository. We highly encourage you to give these workflows a try and explore the creative possibilities that ICEdit offers. Github Repo: https://github.com/River-Zhang/ICEdit Hugging Face Space: https://huggingface.co/spaces/RiverZ/ICEdit
reacted to merve's post with 🚀 1 day ago
A real-time object detector much faster and accurate than YOLO with Apache 2.0 license just landed to Hugging Face transformers 🔥 D-FINE is the sota real-time object detector that runs on T4 (free Colab) 🤩 > Collection with all checkpoints and demo https://huggingface.co/collections/ustc-community/d-fine-68109b427cbe6ee36b4e7352 Notebooks: > Tracking https://github.com/qubvel/transformers-notebooks/blob/main/notebooks/DFine_tracking.ipynb > Inference https://github.com/qubvel/transformers-notebooks/blob/main/notebooks/DFine_inference.ipynb > Fine-tuning https://github.com/qubvel/transformers-notebooks/blob/main/notebooks/DFine_finetune_on_a_custom_dataset.ipynb h/t @vladislavbro @qubvel-hf @ariG23498 and the authors of the paper 🎩 Regular object detectors attempt to predict bounding boxes in (x, y, w, h) pixel perfect coordinates, which is very rigid and hard to solve 🥲☹️ D-FINE formulates object detection as a distribution for bounding box coordinates, refines them iteratively, and it's more accurate 🤩 Another core idea behind this model is Global Optimal Localization Self-Distillation ⤵️ this model uses final layer's distribution output (sort of like a teacher) to distill to earlier layers to make early layers more performant.
liked a model 28 days ago
unsloth/Llama-4-Scout-17B-16E-Instruct-GGUF
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