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1. Text Generation Web UI

   This document details how to run Qwen models locally using the Text Generation Web UI (oobabooga), covering installation, setup, and launching the web interface.

   2025-04-08 Tags: alibaba, qwen, text generation web ui, oobabooga, llm, inference, llama.cpp, transformers, quantization, python by klotz
2. SmolVLM2: Bringing Video Understanding to Every Device

   SmolVLM2 represents a shift in video understanding technology by introducing efficient models that can run on various devices, from phones to servers. The release includes models of three sizes (2.2B, 500M, and 256M) with Python and Swift API support. These models offer video understanding capabilities with reduced memory consumption, supported by a suite of demo applications for practical use.

   2025-02-21 Tags: smolvlm2, video understanding, python, machine learning, video, transformers, mlx, vlm, llm by klotz
3. HuggingFace Transformers Installation

   python -c "from transformers import pipeline; print(pipeline('sentiment-analysis')('I love you'))"

   2024-02-22 Tags: huggingface, transformers, installation, llm, python by klotz

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