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Most of my time now is focused on **LLM/VLM** Inference. Please check 📖[Awesome-LLM-Inference](https://github.com/DefTruth/Awesome-LLM-Inference), 📖[Awesome-SD-Distributed-Inference](https://github.com/DefTruth/Awesome-SD-Distributed-Inference) and 📖[CUDA-Learn-Notes](https://github.com/DefTruth/CUDA-Learn-Notes) for more details.
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Most of my time now is focused on **LLM/VLM** Inference. Please check 📖[Awesome-LLM-Inference](https://github.com/DefTruth/Awesome-LLM-Inference), 📖[Awesome-SD-Inference](https://github.com/DefTruth/Awesome-SD-Inference) and 📖[CUDA-Learn-Notes](https://github.com/DefTruth/CUDA-Learn-Notes) for more details.
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## 🤗 Introduction
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**torchlm** is aims to build a high level pipeline for face landmarks detection, it supports **training**, **evaluating**, **exporting**, **inference(Python/C++)** and **100+ data augmentations**, can easily install via **pip**.
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