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docs: update backend features and CPU inference support sections in README and README_zh-CN
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@@ -625,7 +625,7 @@ https://github.com/user-attachments/assets/4bea02c9-6d54-4cd6-97ed-dff14340982c
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<th>后端特性</th>
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<td>速度快, 无幻觉</td>
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<td>兼容性好, 速度较慢</td>
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<td>比transformers更快</td>
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<td>比transformers快</td>
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<td>速度快, 兼容vllm生态</td>
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<td>无配置要求, 适用openai兼容服务器</td>
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</tr>
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@@ -637,9 +637,9 @@ https://github.com/user-attachments/assets/4bea02c9-6d54-4cd6-97ed-dff14340982c
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<td>不限</td>
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</tr>
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<tr>
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<th>cpu推理支持</th>
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<td colspan="3" style="text-align:center;">✅</td>
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<td >❌</td>
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<th>纯CPU推理支持</th>
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<td colspan="2" style="text-align:center;">✅</td>
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<td colspan="2" style="text-align:center;">❌</td>
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<td >不需要</td>
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</tr>
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<tr>
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@@ -663,12 +663,12 @@ https://github.com/user-attachments/assets/4bea02c9-6d54-4cd6-97ed-dff14340982c
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<td colspan="5" style="text-align:center;">3.10-3.13</td>
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</tr>
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</tbody>
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</table>
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1. 精度指标为OmniDocBench (v1.5)的End-to-End Evaluation Overall分数
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2. Linux仅支持2019年及以后发行版
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3. 需macOS 13.5及以上版本
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4. 通过WSL2实现Windows vLLM支持
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</table>
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<sup>1</sup> 精度指标为OmniDocBench (v1.5)的End-to-End Evaluation Overall分数
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<sup>2</sup> Linux仅支持2019年及以后发行版
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<sup>3</sup> 需macOS 13.5及以上版本
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<sup>4</sup> 通过WSL2实现Windows vLLM支持
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> [!TIP]
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> 除以上主流环境与平台外,我们也收录了一些社区用户反馈的其他平台支持情况,详情请参考[其他加速卡适配](https://opendatalab.github.io/MinerU/zh/usage/)。
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