docs: add SGLang Omni community integration#3268
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This pull request adds SGLang Omni to the community projects documentation in both English and Chinese. The feedback suggests translating English technical terms to standard Chinese in the Chinese documentation to improve localization and readability, and capitalizing 'omni models' to 'Omni models' in the English documentation for consistency.
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| | [Xinference](https://github.com/xorbitsai/inference) | 通过 Xinference 统一推理 API 提供 SenseVoiceSmall、Fun-ASR-Nano-2512 和 Fun-ASR-MLT-Nano-2512 内置音频模型规格。 | [音频模型规格](https://github.com/xorbitsai/inference/blob/main/xinference/model/audio/model_spec.json) 和已合并 [#5140](https://github.com/xorbitsai/inference/pull/5140) 中的 FunASR 1.3 兼容性更新。 | | ||
| | [Optimum Intel](https://github.com/huggingface/optimum-intel) | 通过 Hugging Face Optimum Intel 支持 Fun-ASR 模型的 OpenVINO 导出与推理，包括 FunASR 专用 modeling 代码以及 ASR、export、quantization 覆盖。 | [FunASR OpenVINO modeling](https://github.com/huggingface/optimum-intel/blob/main/optimum/intel/openvino/modeling_funasr.py)、[支持模型文档](https://github.com/huggingface/optimum-intel/blob/main/docs/source/openvino/models.mdx) 和已合并 [#1801](https://github.com/huggingface/optimum-intel/pull/1801)。 | | ||
| | [SGLang Omni](https://github.com/sgl-project/sglang-omni) | 面向 omni models 的 multi-stage pipeline runtime，已内置 Fun-ASR 模型支持、OpenAI 兼容服务、cookbook 文档和 benchmark 任务。 | [Fun-ASR cookbook](https://github.com/sgl-project/sglang-omni/blob/main/docs/cookbook/fun_asr.md)、[Fun-ASR 模型 runtime](https://github.com/sgl-project/sglang-omni/tree/main/sglang_omni/models/fun_asr) 和已合并 [#1078](https://github.com/sgl-project/sglang-omni/pull/1078)。 | |
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To improve the readability and professionalism of the Chinese documentation, it is recommended to translate the English technical terms (such as omni models, multi-stage pipeline runtime, cookbook, benchmark, and runtime) into standard Chinese terms. This aligns better with the localization style of other entries in the table (e.g., using '音频模型规格', '支持模型文档', '安装与 Benchmark').
Suggested change
| | [SGLang Omni](https://github.com/sgl-project/sglang-omni) | 面向 omni models 的 multi-stage pipeline runtime，已内置 Fun-ASR 模型支持、OpenAI 兼容服务、cookbook 文档和 benchmark 任务。 | [Fun-ASR cookbook](https://github.com/sgl-project/sglang-omni/blob/main/docs/cookbook/fun_asr.md)、[Fun-ASR 模型 runtime](https://github.com/sgl-project/sglang-omni/tree/main/sglang_omni/models/fun_asr) 和已合并 [#1078](https://github.com/sgl-project/sglang-omni/pull/1078)。 | | |
| | [SGLang Omni](https://github.com/sgl-project/sglang-omni) | 面向 Omni 多模态模型的多阶段流水线运行时，已内置 Fun-ASR 模型支持、OpenAI 兼容服务、Cookbook 指南和基准测试任务。 | [Fun-ASR Cookbook 指南](https://github.com/sgl-project/sglang-omni/blob/main/docs/cookbook/fun_asr.md)、[Fun-ASR 模型运行时](https://github.com/sgl-project/sglang-omni/tree/main/sglang_omni/models/fun_asr) 和已合并 [#1078](https://github.com/sgl-project/sglang-omni/pull/1078)。 | |
| |---|---|---| | ||
| | [Xinference](https://github.com/xorbitsai/inference) | Built-in audio model specifications for SenseVoiceSmall, Fun-ASR-Nano-2512, and Fun-ASR-MLT-Nano-2512 through Xinference's unified inference API. | [Audio model specifications](https://github.com/xorbitsai/inference/blob/main/xinference/model/audio/model_spec.json) and the FunASR 1.3 compatibility update in merged [#5140](https://github.com/xorbitsai/inference/pull/5140). | | ||
| | [Optimum Intel](https://github.com/huggingface/optimum-intel) | OpenVINO export and inference support for Fun-ASR models through Hugging Face Optimum Intel, including FunASR-specific modeling and ASR/export/quantization coverage. | [FunASR OpenVINO modeling](https://github.com/huggingface/optimum-intel/blob/main/optimum/intel/openvino/modeling_funasr.py), [supported models docs](https://github.com/huggingface/optimum-intel/blob/main/docs/source/openvino/models.mdx), and merged [#1801](https://github.com/huggingface/optimum-intel/pull/1801). | | ||
| | [SGLang Omni](https://github.com/sgl-project/sglang-omni) | A multi-stage pipeline runtime for omni models with built-in Fun-ASR model support, OpenAI-compatible serving, cookbook docs, and benchmark tasks. | [Fun-ASR cookbook](https://github.com/sgl-project/sglang-omni/blob/main/docs/cookbook/fun_asr.md), [Fun-ASR model runtime](https://github.com/sgl-project/sglang-omni/tree/main/sglang_omni/models/fun_asr), and merged [#1078](https://github.com/sgl-project/sglang-omni/pull/1078). | |
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Capitalize 'omni models' to 'Omni models' to maintain consistent capitalization for model terms across the documentation.
Suggested change
| | [SGLang Omni](https://github.com/sgl-project/sglang-omni) | A multi-stage pipeline runtime for omni models with built-in Fun-ASR model support, OpenAI-compatible serving, cookbook docs, and benchmark tasks. | [Fun-ASR cookbook](https://github.com/sgl-project/sglang-omni/blob/main/docs/cookbook/fun_asr.md), [Fun-ASR model runtime](https://github.com/sgl-project/sglang-omni/tree/main/sglang_omni/models/fun_asr), and merged [#1078](https://github.com/sgl-project/sglang-omni/pull/1078). | | |
| | [SGLang Omni](https://github.com/sgl-project/sglang-omni) | A multi-stage pipeline runtime for Omni models with built-in Fun-ASR model support, OpenAI-compatible serving, cookbook docs, and benchmark tasks. | [Fun-ASR cookbook](https://github.com/sgl-project/sglang-omni/blob/main/docs/cookbook/fun_asr.md), [Fun-ASR model runtime](https://github.com/sgl-project/sglang-omni/tree/main/sglang_omni/models/fun_asr), and merged [#1078](https://github.com/sgl-project/sglang-omni/pull/1078). | |
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