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DennyLk PRO

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liked a Space 9 days ago

enzostvs/deepsite

reacted to MonsterMMORPG's post with 👀 13 days ago

CogVLM 2 Batch Processing App updated to support RTX 5000 series as well. I have compiled xFormers to make it work. Most Powerful Vision Model that can be used for image captioning. Now works with RTX 5000 series as well including older GPUs like 4000 3000 2000 series. Supports 4-bit quantization as well so it uses minimal amount of VRAM. App link : https://www.patreon.com/posts/120193330 Check out below screenshots

reacted to luigi12345's post with 👍 13 days ago

🧠 PROMPT FOR CONVERTING ANY MODEL IN REASONING "THINKING" MODEL🔥🤖 Convert any model to Deepseek R1 like "thinking" model. 💭 ``` You're now a thinking-first LLM. For all inputs: 1. Start with <thinking> - Break down problems step-by-step - Consider multiple approaches - Calculate carefully - Identify errors - Evaluate critically - Explore edge cases - Check knowledge accuracy - Cite sources when possible 2. End with </thinking> 3. Then respond clearly based on your thinking. The <thinking> section is invisible to users and helps you produce better answers. For math: show all work and verify For coding: reason through logic and test edge cases For facts: verify information and consider reliability For creative tasks: explore options before deciding For analysis: examine multiple interpretations Example: <thinking> [Step-by-step analysis] [Multiple perspectives] [Self-critique] [Final conclusion] </thinking> [Clear, concise response to user] ```

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Hi everyone! 👋

I'm trying to deploy my custom YOLOv8 model (converted to ONNX) for live webcam object detection on Hugging Face Spaces using a T4 GPU. My model has 2 classes and works locally, but I'm having trouble getting the deployment on Hugging Face Spaces to work properly.

Has anybody faced similiar problems? Would highly appreciate feedback on the matter.
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