[Docx] add language (en/cn) switch links (#4470)

* add install docs * 修改文档 * 修改文档
2026-04-23 00:17:25 +08:00 · 2025-10-17 15:47:41 +08:00
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+[简体中文](../zh/get_started/README.md)
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 # Get Started

 - [Deploy ERNIE-4.5-0.3B-Paddle in 10 Minutes](quick_start.md)
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+[简体中文](../zh/get_started/ernie-4.5-vl.md)
+
 # Deploy ERNIE-4.5-VL-424B-A47B Multimodal Model

 This document explains how to deploy the ERNIE-4.5-VL multimodal model, which supports users to interact with the model using multimodal data (including reasoning capabilities). Before starting the deployment, please ensure that your hardware environment meets the following requirements:
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+[简体中文](../zh/get_started/ernie-4.5.md)
+
 # Deploy ERNIE-4.5-300B-A47B Model

 This document explains how to deploy the ERNIE-4.5 model. Before starting the deployment, please ensure that your hardware environment meets the following requirements:
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+[简体中文](../../zh/get_started/installation/Enflame_gcu.md)
+
 # Running ERNIE 4.5 Series Models with FastDeploy

 The Enflame S60 ([Learn about Enflame](https://www.enflame-tech.com/)) is a next-generation AI inference accelerator card designed for large-scale deployment in data centers. It meets the demands of large language models (LLMs), search/advertising/recommendation systems, and traditional models. Characterized by broad model coverage, user-friendliness, and high portability, it is widely applicable to mainstream inference scenarios such as image and text generation applications, search and recommendation systems, and text/image/speech recognition.
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+[简体中文](../../zh/get_started/installation/README.md)
+
 # FastDeploy Installation

 FastDeploy currently supports installation on the following hardware platforms:
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+[简体中文](../../zh/get_started/installation/hygon_dcu.md)
+
 # Run ERNIE-4.5-300B-A47B & ERNIE-4.5-21B-A3B model on hygon machine
 The current version of the software merely serves as a demonstration demo for the hygon k100AI combined with the Fastdeploy inference framework for large models. There may be issues when running the latest ERNIE4.5 model, and we will conduct repairs and performance optimization in the future. Subsequent versions will provide customers with a more stable version.

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+[简体中文](../../zh/get_started/installation/iluvatar_gpu.md)
+
 # Run ERNIE-4.5-300B-A47B & ERNIE-4.5-21B-A3B model on iluvatar machine

 ## Machine Preparation
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+[简体中文](../../zh/get_started/installation/intel_gaudi.md)
+
 # Intel Gaudi Installation for running ERNIE 4.5 Series Models

 The following installation methods are available when your environment meets these requirements:
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+[简体中文](../../zh/get_started/installation/kunlunxin_xpu.md)
+
 # Kunlunxin XPU

 ## Requirements
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+[简体中文](../../zh/get_started/installation/metax_gpu.md)
+
 # Metax GPU Installation for running ERNIE 4.5 Series Models

 The following installation methods are available when your environment meets these requirements:
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+[简体中文](../../zh/get_started/installation/nvidia_gpu.md)
+
 # NVIDIA CUDA GPU Installation

 The following installation methods are available when your environment meets these requirements:
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+[简体中文](../zh/get_started/quick_start.md)
+
 # Deploy ERNIE-4.5-0.3B-Paddle in 10 Minutes

 Before deployment, ensure your environment meets the following requirements:
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+[简体中文](../zh/get_started/quick_start_qwen.md)
+
 # Deploy QWEN3-0.6b in 10 Minutes

 Before deployment, ensure your environment meets the following requirements:
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+[简体中文](../zh/get_started/quick_start_vl.md)
+
 # Deploy ERNIE-4.5-VL-28B-A3B-Paddle Multimodal Model in 10 Minutes

 Before deployment, please ensure your environment meets the following requirements: