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# Copyright (C) 2023, Xorbits Inc.
# This file is distributed under the same license as the Xinference package.
# FIRST AUTHOR <EMAIL@ADDRESS>, 2023.
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msgstr ""
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"Generated-By: Babel 2.18.0\n"

#: ../../source/getting_started/using_xinference.rst:5
msgid "Using Xinference"
msgstr "사용"

#: ../../source/getting_started/using_xinference.rst:9
msgid "Run Xinference Locally"
msgstr "로컬에서 Xinference 실행"

#: ../../source/getting_started/using_xinference.rst:11
msgid ""
"Let's start by running Xinference on a local machine and running a classic "
"LLM model: ``qwen2.5-instruct``."
msgstr ""
"Let’s use a classic large language model ``qwen2.5-instruct`` as an example "
"to demonstrate how to run a large model locally with Xinference."

#: ../../source/getting_started/using_xinference.rst:13
msgid ""
"After this quickstart, you will move on to learning how to deploy Xinference"
" in a cluster environment."
msgstr "이 빠른 시작 이후에는 분산 클러스터 환경에서 Xinference를 배포하는 방법을 계속 학습할 수 있습니다."

#: ../../source/getting_started/using_xinference.rst:16
msgid "Start Local Server"
msgstr "로컬 서비스 시작"

#: ../../source/getting_started/using_xinference.rst:18
msgid ""
"First, please ensure that you have installed Xinference according to the "
"instructions provided :ref:`here <installation>`. To start a local instance "
"of Xinference, run the following command:"
msgstr ""
"먼저, :ref:`문서 <installation>` 의 지침에 따라 로컬에 Xinference가 설치되어 있는지 확인하세요. 다음 "
"명령어를 사용하여 로컬 Xinference 서비스를 시작합니다:"

#: ../../source/getting_started/using_xinference.rst:23
#: ../../source/getting_started/using_xinference.rst:65
msgid "shell"
msgstr "shell"

#: ../../source/getting_started/using_xinference.rst:29
#: ../../source/getting_started/using_xinference.rst:71
msgid "output"
msgstr "출력"

#: ../../source/getting_started/using_xinference.rst:39
msgid ""
"By default, Xinference uses ``<HOME>/.xinference`` as home path to store "
"necessary files such as logs and models, where ``<HOME>`` is the home path "
"of current user."
msgstr ""
"기본적으로 Xinference는 ``<HOME>/.xinference``를 메인 디렉토리로 사용하여 로그 파일 및 모델 파일과 같은 필수"
" 정보를 저장합니다. 여기서 ``<HOME>``은 현재 사용자의 홈 디렉토리입니다."

#: ../../source/getting_started/using_xinference.rst:42
msgid ""
"You can change this directory by configuring the environment variable "
"``XINFERENCE_HOME``. For example:"
msgstr ""
"You can modify the home directory by configuring the environment variable "
"``XINFERENCE_HOME``, for example:"

#: ../../source/getting_started/using_xinference.rst:49
msgid ""
"Congrats! You now have Xinference running on your local machine. Once "
"Xinference is running, there are multiple ways we can try it: via the web "
"UI, via cURL, via the command line, or via the Xinference's python client."
msgstr ""
"축하합니다! 로컬에서 Xinference 서비스를 실행했습니다. Xinference 서비스가 실행되면 웹 페이지, cURL 명령, 명령줄"
" 또는 Xinference의 Python SDK를 포함한 다양한 방법으로 사용할 수 있습니다."

#: ../../source/getting_started/using_xinference.rst:52
msgid ""
"You can visit the web UI at `http://127.0.0.1:9997/ui "
"<http://127.0.0.1:9997/ui>`_ and visit `http://127.0.0.1:9997/docs "
"<http://127.0.0.1:9997/docs>`_ to inspect the API docs."
msgstr ""
"UI는 `http://127.0.0.1:9997/ui <http://127.0.0.1:9997/ui>`_ 에 접속하여 사용할 수 있으며,"
" API 문서는 `http://127.0.0.1:9997/docs <http://127.0.0.1:9997/docs>`_ 에서 확인할 수"
" 있습니다."

#: ../../source/getting_started/using_xinference.rst:55
msgid ""
"You can install the Xinference command line tool and Python client using the"
" following command:"
msgstr "다음 명령어를 통해 설치한 후, Xinference 명령줄 도구 또는 Python 코드를 이용하여 사용할 수 있습니다:"

#: ../../source/getting_started/using_xinference.rst:61
msgid ""
"The command line tool is ``xinference``. You can list the commands that can "
"be used by running:"
msgstr "명령줄 도구는 ``xinference``입니다. 다음 명령을 통해 사용 가능한 명령을 확인할 수 있습니다:"

#: ../../source/getting_started/using_xinference.rst:102
msgid ""
"You can install the Xinference Python client with minimal dependencies using"
" the following command. Please ensure that the version of the client matches"
" the version of the Xinference server."
msgstr ""
"Xinference의 Python SDK만 설치해야 하는 경우, 다음 명령어를 사용하여 최소한의 의존성만 설치할 수 있습니다. 버전은 "
"반드시 Xinference 서비스 버전과 일치해야 합니다."

#: ../../source/getting_started/using_xinference.rst:112
msgid "About Model Engine"
msgstr "모델의 추론 엔진"

#: ../../source/getting_started/using_xinference.rst:113
msgid ""
"Since ``v0.11.0`` , before launching the LLM model, you need to specify the "
"inference engine you want to run. Currently, xinference supports the "
"following inference engines:"
msgstr ""
"``v0.11.0`` 버전부터 LLM 모델을 로드하기 전에 구체적인 추론 엔진을 지정해야 합니다. 현재 Xinference는 다음 추론 "
"엔진을 지원합니다:"

#: ../../source/getting_started/using_xinference.rst:116
msgid "``vllm``"
msgstr ""

#: ../../source/getting_started/using_xinference.rst:117
msgid "``sglang``"
msgstr ""

#: ../../source/getting_started/using_xinference.rst:118
msgid "``llama.cpp``"
msgstr ""

#: ../../source/getting_started/using_xinference.rst:119
msgid "``transformers``"
msgstr ""

#: ../../source/getting_started/using_xinference.rst:120
msgid "``MLX``"
msgstr ""

#: ../../source/getting_started/using_xinference.rst:122
msgid ""
"About the details of these inference engine, please refer to :ref:`here "
"<inference_backend>`."
msgstr "이러한 추론 엔진에 대한 자세한 내용은 :ref:`여기 <inference_backend>` 를 참조하십시오."

#: ../../source/getting_started/using_xinference.rst:124
msgid ""
"Note that when launching a LLM model, the ``model_format`` and "
"``quantization`` of the model you want to launch is closely related to the "
"inference engine."
msgstr ""
"주의, LLM 모델을 로드할 때 실행 가능한 엔진은 ``model_format`` 및 ``quantization`` 매개변수와 밀접한 "
"관련이 있습니다."

#: ../../source/getting_started/using_xinference.rst:127
msgid ""
"You can use ``xinference engine`` command to query the combination of "
"parameters of the model you want to launch. This will demonstrate under what"
" conditions a model can run on which inference engines."
msgstr ""
"Xinference는 ``xinference engine`` 명령을 제공하여 관련 매개변수 조합을 조회할 수 있도록 도와줍니다."

#: ../../source/getting_started/using_xinference.rst:130
msgid "For example:"
msgstr "예를 들어:"

#: ../../source/getting_started/using_xinference.rst:132
msgid ""
"I would like to query about which inference engines the ``qwen-chat`` model "
"can run on, and what are their respective parameters."
msgstr ""
"I want to query the parameter combinations related to the ``qwen-chat`` "
"model to determine how it can run on various inference engines."

#: ../../source/getting_started/using_xinference.rst:138
msgid ""
"I want to run ``qwen-chat`` with ``VLLM`` as the inference engine, but I "
"don't know how to configure the other parameters."
msgstr ""
"I want to run ``qwen-chat`` on the ``VLLM`` inference engine, but I don't "
"know what other parameters meet this requirement."

#: ../../source/getting_started/using_xinference.rst:144
msgid ""
"I want to launch the ``qwen-chat`` model in the ``GGUF`` format, and I need "
"to know how to configure the remaining parameters."
msgstr ""
"I want to load the ``qwen-chat`` model in ``GGUF`` format, I need to know "
"the rest of the parameter combinations."

#: ../../source/getting_started/using_xinference.rst:151
msgid ""
"In summary, compared to previous versions, when launching LLM models, you "
"need to additionally pass the ``model_engine`` parameter. You can retrieve "
"information about the supported inference engines and their related "
"parameter combinations through the ``xinference engine`` command."
msgstr ""
"요약하자면, 이전 버전과 달리 LLM 모델을 로드할 때 ``model_engine`` 매개변수를 추가로 전달해야 합니다. "
"``xinference engine`` 명령어를 통해 실행하려는 추론 엔진과 다른 매개변수 조합의 관계를 확인할 수 있습니다."

#: ../../source/getting_started/using_xinference.rst:158
msgid "Here are some recommendations on when to use which engine:"
msgstr "다음은 어떤 엔진을 언제 사용해야 하는지에 대한 몇 가지 제안입니다:"

#: ../../source/getting_started/using_xinference.rst:160
msgid "**Linux**"
msgstr ""

#: ../../source/getting_started/using_xinference.rst:162
msgid ""
"When possible, prioritize using **vLLM** or **SGLang** for better "
"performance."
msgstr "사용 가능한 경우, **vLLM** 또는 **SGLang**을 우선적으로 사용하세요. 더 나은 성능을 제공하기 때문입니다."

#: ../../source/getting_started/using_xinference.rst:163
msgid ""
"If resources are limited, consider using **llama.cpp**, as it offers more "
"quantization options."
msgstr "리소스가 제한된 경우, 더 많은 양자화 옵션을 제공하는 **llama.cpp**를 고려해볼 수 있습니다."

#: ../../source/getting_started/using_xinference.rst:164
msgid ""
"For other cases, consider using **Transformers**, which supports nearly all "
"models."
msgstr "다른 사용 고려사항으로 **Transformers**를 사용하면 거의 모든 모델을 지원합니다."

#: ../../source/getting_started/using_xinference.rst:166
msgid "**Windows**"
msgstr ""

#: ../../source/getting_started/using_xinference.rst:168
msgid ""
"It is recommended to use **WSL**, and in this case, follow the same choices "
"as Linux."
msgstr "**WSL** 사용을 권장하며, 이 경우 Linux와 동일한 옵션을 선택합니다."

#: ../../source/getting_started/using_xinference.rst:169
msgid ""
"Otherwise, prefer **llama.cpp**, and for unsupported models, opt for "
"**Transformers**."
msgstr "다른 경우에는 **llama.cpp**를 권장하며, 지원되지 않는 모델의 경우 **Transformers**를 사용하세요."

#: ../../source/getting_started/using_xinference.rst:171
msgid "**Mac**"
msgstr ""

#: ../../source/getting_started/using_xinference.rst:173
msgid ""
"If supported by the model, use the **MLX engine**, as it delivers the best "
"performance."
msgstr "모델이 지원하는 경우, **MLX 엔진** 사용을 권장합니다. 이는 최상의 성능을 제공합니다."

#: ../../source/getting_started/using_xinference.rst:174
msgid ""
"For other cases, prefer **llama.cpp**, and for unsupported models, choose "
"**Transformers**."
msgstr ""
"다른 경우에는 **llama.cpp**를 사용하는 것을 추천하며, 지원되지 않는 모델의 경우 **Transformers**를 선택하여 "
"사용하세요."

#: ../../source/getting_started/using_xinference.rst:178
msgid "Run qwen2.5-instruct"
msgstr "qwen2.5-instruct 실행"

#: ../../source/getting_started/using_xinference.rst:180
msgid ""
"Let's start by running a built-in model: ``qwen2.5-instruct``. When you "
"start a model for the first time, Xinference will download the model "
"parameters from HuggingFace, which might take a few minutes depending on the"
" size of the model weights. We cache the model files locally, so there's no "
"need to redownload them for subsequent starts."
msgstr ""
"내장된 ``qwen2.5-instruct`` 모델을 실행해 보겠습니다. 모델을 실행해야 할 때, 처음 실행 시 HuggingFace에서 "
"모델 파라미터를 다운로드해야 하며, 일반적으로 모델 크기에 따라 10분에서 30분 정도 소요됩니다. 다운로드가 완료되면 "
"Xinference 로컬에 캐시가 저장되므로, 이후 동일한 모델을 다시 실행할 때는 새로 다운로드할 필요가 없습니다."

#: ../../source/getting_started/using_xinference.rst:185
msgid ""
"Xinference also allows you to download models from other sites. You can do "
"this by setting an environment variable when launching Xinference. For "
"example, if you want to download models from `modelscope "
"<https://modelscope.cn>`_, do the following:"
msgstr ""
"Xinference는 다른 모델 호스팅 플랫폼에서 모델을 다운로드할 수도 있습니다. Xinference를 실행할 때 환경 변수를 지정하여"
" 수행할 수 있습니다. 예를 들어, ModelScope에서 모델을 다운로드하려면 다음 명령을 사용할 수 있습니다."

#: ../../source/getting_started/using_xinference.rst:193
msgid ""
"We can specify the model's UID using the ``--model-uid`` or ``-u`` flag. If "
"not specified, Xinference will generate a unique ID. The default unique ID "
"will be identical to the model name."
msgstr ""
"``--model-uid`` 혹은 ``-u`` 매개변수를 사용하여 모델의 UID를 지정할 수 있으며, 지정하지 않으면 "
"Xinference가 무작위로 ID를 생성합니다. 기본 ID는 모델 이름과 동일하게 유지됩니다."

#: ../../source/getting_started/using_xinference.rst:232
msgid ""
"For some engines, such as vllm, users need to specify the engine-related "
"parameters when running models. In this case, you can directly specify the "
"parameter name and value in the command line, for example:"
msgstr ""
"일부 추론 엔진(예: vllm)의 경우 사용자가 모델을 실행할 때 엔진 관련 매개변수를 지정해야 합니다. 이 경우 명령줄에서 직접 해당 "
"매개변수 이름과 값을 지정하면 됩니다. 예를 들어:"

#: ../../source/getting_started/using_xinference.rst:240
msgid "`gpu_memory_utilization=0.9` will pass to vllm when launching model."
msgstr "모델을 실행할 때 `gpu_memory_utilization=0.9`가 vllm 백엔드로 전달됩니다."

#: ../../source/getting_started/using_xinference.rst:243
msgid "For more tips on model launching, refer to :ref:`launch`."
msgstr "모델 로딩에 대한 더 많은 팁은 :ref:`launch`를 참조하세요."

#: ../../source/getting_started/using_xinference.rst:245
msgid ""
"Congrats! You now have ``qwen2.5-instruct`` running by Xinference. Once the "
"model is running, we can try it out either via cURL, or via Xinference's "
"python client:"
msgstr ""
"이 단계까지 오셨다면, 축하합니다! Xinference를 통해 ``qwen2.5-instruct``를 성공적으로 실행하셨습니다. 이 "
"모델이 실행 중이면 명령줄, cURL 또는 Python 코드를 통해 상호작용할 수 있습니다:"

#: ../../source/getting_started/using_xinference.rst:305
msgid ""
"Xinference provides OpenAI-compatible APIs for its supported models, so you "
"can use Xinference as a local drop-in replacement for OpenAI APIs. For "
"example:"
msgstr ""
"Xinference는 OpenAI 호환 API를 제공하므로 Xinference에서 실행되는 모델을 OpenAI의 로컬 대체품으로 사용할 "
"수 있습니다. 예를 들어:"

#: ../../source/getting_started/using_xinference.rst:321
msgid "The following OpenAI APIs are supported:"
msgstr "지원되는 OpenAI API 목록은 다음과 같습니다:"

#: ../../source/getting_started/using_xinference.rst:323
msgid ""
"Chat Completions: `https://platform.openai.com/docs/api-reference/chat "
"<https://platform.openai.com/docs/api-reference/chat>`_"
msgstr ""
"대화 생성: `https://platform.openai.com/docs/api-reference/chat "
"<https://platform.openai.com/docs/api-reference/chat>`_"

#: ../../source/getting_started/using_xinference.rst:325
msgid ""
"Completions: `https://platform.openai.com/docs/api-reference/completions "
"<https://platform.openai.com/docs/api-reference/completions>`_"
msgstr ""
"`https://platform.openai.com/docs/api-reference/completions "
"<https://platform.openai.com/docs/api-reference/completions>`_"

#: ../../source/getting_started/using_xinference.rst:327
msgid ""
"Embeddings: `https://platform.openai.com/docs/api-reference/embeddings "
"<https://platform.openai.com/docs/api-reference/embeddings>`_"
msgstr ""
"벡터 생성: `https://platform.openai.com/docs/api-reference/embeddings "
"<https://platform.openai.com/docs/api-reference/embeddings>`_"

#: ../../source/getting_started/using_xinference.rst:329
msgid ""
"Xinference also supports Anthropic API via base url "
"``http://127.0.0.1:9997/anthropic``, you can use Xinference in Claude Code "
"and so forth. Refer to :ref:`anthropic client <anthropic_client>` for more "
"details."
msgstr ""
"Xinference는 기본 URL ``http://127.0.0.1:9997/anthropic``을 통해 Anthropic API를 "
"호출할 수도 있으며, Claude Code와 같은 환경에서 Xinference를 사용할 수 있습니다. 자세한 내용은 "
":ref:`anthropic client <anthropic_client>`를 참조하세요."

#: ../../source/getting_started/using_xinference.rst:333
msgid "Manage Models"
msgstr "모델 관리"

#: ../../source/getting_started/using_xinference.rst:335
msgid ""
"In addition to launching models, Xinference offers various ways to manage "
"the entire lifecycle of models. You can manage models in Xinference through "
"the command line, cURL, or Xinference's python client."
msgstr ""
"시작 모델 외에도, Xinference는 모델의 전체 라이프사이클을 관리할 수 있는 기능을 제공합니다. 마찬가지로 명령줄, cURL 및 "
"Python 코드를 사용하여 관리할 수 있습니다:"

#: ../../source/getting_started/using_xinference.rst:338
msgid ""
"You can list all models of a certain type that are available to launch in "
"Xinference:"
msgstr "다음은 Xinference가 지원하는 모든 지정 유형의 모델입니다:"

#: ../../source/getting_started/using_xinference.rst:356
msgid ""
"The following command gives you the currently running models in Xinference:"
msgstr "다음 명령어는 실행 중인 모든 모델을 나열합니다:"

#: ../../source/getting_started/using_xinference.rst:374
msgid ""
"When you no longer need a model that is currently running, you can remove it"
" in the following way to free up the resources it occupies:"
msgstr "실행 중인 모델이 더 이상 필요하지 않을 경우, 다음 방법을 통해 중지하고 리소스를 해제할 수 있습니다:"

#: ../../source/getting_started/using_xinference.rst:395
msgid "Deploy Xinference In a Cluster"
msgstr "클러스터에 Xinference 배포"

#: ../../source/getting_started/using_xinference.rst:397
msgid ""
"To deploy Xinference in a cluster, you need to start a Xinference supervisor"
" on one server and Xinference workers on the other servers."
msgstr ""
"클러스터 환경에서 Xinference를 배포하려면 한 대의 머신에서 supervisor 노드를 시작하고, 현재 또는 다른 노드에서 "
"worker 노드를 시작해야 합니다."

#: ../../source/getting_started/using_xinference.rst:400
msgid ""
"First, make sure you have already installed Xinference on each of the "
"servers according to the instructions provided :ref:`here <installation>`. "
"Then follow the steps below:"
msgstr ""
"먼저, :ref:`문서 <installation>`에 따라 모든 서버에 Xinference가 설치되어 있는지 확인합니다. 그 다음 단계를"
" 따릅니다:"

#: ../../source/getting_started/using_xinference.rst:404
msgid "Start the Supervisor"
msgstr "Supervisor 시작"

#: ../../source/getting_started/using_xinference.rst:405
msgid ""
"On the server where you want to run the Xinference supervisor, run the "
"following command:"
msgstr "서버에서 다음 명령을 실행하여 Supervisor 노드를 시작합니다:"

#: ../../source/getting_started/using_xinference.rst:411
#, python-brace-format
msgid ""
"Replace ``${supervisor_host}`` with the actual host of your supervisor "
"server."
msgstr "현재 노드의 IP로 ``${supervisor_host}``를 대체합니다."

#: ../../source/getting_started/using_xinference.rst:414
#, python-brace-format
msgid ""
"You can the supervisor's web UI at `http://${supervisor_host}:9997/ui "
"<http://${supervisor_host}:9997/ui>`_ and visit "
"`http://${supervisor_host}:9997/docs <http://${supervisor_host}:9997/docs>`_"
" to inspect the API docs."
msgstr ""
"`http://${supervisor_host}:9997/ui <http://${supervisor_host}:9997/ui>`_ 에서 "
"웹 UI에 접속할 수 있으며, `http://${supervisor_host}:9997/docs "
"<http://${supervisor_host}:9997/docs>`_ 에서 API 문서에 접속할 수 있습니다."

#: ../../source/getting_started/using_xinference.rst:418
msgid "Start the Workers"
msgstr "Worker 시작"

#: ../../source/getting_started/using_xinference.rst:420
msgid ""
"On each of the other servers where you want to run Xinference workers, run "
"the following command:"
msgstr "Xinference worker를 시작해야 하는 머신에서 다음 명령을 실행하세요:"

#: ../../source/getting_started/using_xinference.rst:427
#, python-brace-format
msgid ""
"Note that you must replace ``${worker_host}``  with the actual host of your "
"worker server."
msgstr ""
"주의해야 할 점은 반드시 현재 Worker 노드의 IP를 사용하여 ``${worker_host}``를 대체해야 한다는 것입니다."

#: ../../source/getting_started/using_xinference.rst:430
msgid ""
"Note that if you need to interact with the Xinference in a cluster via the "
"command line, you should include the ``-e`` or ``--endpoint`` flag to "
"specify the supervisor server's endpoint. For example:"
msgstr ""
"주의할 점은, 명령줄을 통해 클러스터와 상호작용해야 할 경우 ``-e`` 또는 ``--endpoint`` 매개변수를 사용하여 "
"supervisor의 주소를 지정해야 한다는 것입니다. 예를 들면:"

#: ../../source/getting_started/using_xinference.rst:438
msgid "Using Xinference With Docker"
msgstr "Docker를 사용하여 Xinference 배포"

#: ../../source/getting_started/using_xinference.rst:440
msgid "To start Xinference in a Docker container, run the following command:"
msgstr "다음 명령어로 컨테이너에서 Xinference를 실행하세요:"

#: ../../source/getting_started/using_xinference.rst:443
msgid "Run On Nvidia GPU Host"
msgstr "NVIDIA 그래픽 카드가 장착된 머신에서 실행"

#: ../../source/getting_started/using_xinference.rst:445
msgid "For cuda 12.4:"
msgstr "For CUDA 12.4:"

#: ../../source/getting_started/using_xinference.rst:451
msgid "For cuda 12.8:"
msgstr "CUDA 12.8"

#: ../../source/getting_started/using_xinference.rst:453
msgid ""
"CUDA 12.8 version is experimental, welcome to give us feedbacks to help us "
"to improve."
msgstr "CUDA 12.8 버전은 실험적이며, 개선을 위한 피드백을 환영합니다."

#: ../../source/getting_started/using_xinference.rst:456
msgid "CUDA 12.8 version is removed in v1.16.0 ."
msgstr "CUDA 12.8 버전은 v1.16.0에서 제거되었습니다."

#: ../../source/getting_started/using_xinference.rst:463
msgid "For cuda 12.9:"
msgstr "CUDA 12.9의 경우:"

#: ../../source/getting_started/using_xinference.rst:465
msgid ""
"CUDA 12.9 will become the default version when Xinference v2.0.0 released."
msgstr "Xinference v2.0.0이 출시된 후, CUDA 12.9가 기본 버전이 됩니다."

#: ../../source/getting_started/using_xinference.rst:473
msgid "Run On CPU Only Host"
msgstr "CPU만 있는 머신에서 실행"

#: ../../source/getting_started/using_xinference.rst:479
msgid ""
"Replace ``<your_version>`` with Xinference versions, e.g. ``v0.10.3``, "
"``latest`` can be used for the latest version."
msgstr ""
"``<your_version>``을 Xinference의 버전으로 교체하세요. 예를 들어 ``v0.10.3``이며, 최신 버전에는 "
"``latest``를 사용할 수 있습니다."

#: ../../source/getting_started/using_xinference.rst:481
msgid ""
"For more docker usage, refer to :ref:`Using Docker Image "
"<using_docker_image>`."
msgstr "더 많은 Docker 사용 방법은 :ref:`Docker 이미지 사용 <using_docker_image>`를 참조하십시오."

#: ../../source/getting_started/using_xinference.rst:485
msgid "What's Next?"
msgstr "더"

#: ../../source/getting_started/using_xinference.rst:487
msgid ""
"Congratulations on getting started with Xinference! To help you navigate and"
" make the most out of this powerful tool, here are some resources and "
"guides:"
msgstr ""
"축하합니다! Xinference 사용법을 기본적으로 익히셨습니다! 도구를 더 잘 활용할 수 있도록, 아래에 다른 문서와 가이드 리소스를 "
"제공합니다:"

#: ../../source/getting_started/using_xinference.rst:490
msgid ""
":ref:`How to Use Client APIs for Different Types of Models "
"<user_guide_client_api>`"
msgstr ":ref:`Python을 사용하여 다양한 유형의 모델을 생성하는 방법 <user_guide_client_api>`"

#: ../../source/getting_started/using_xinference.rst:492
msgid ""
":ref:`Choosing the Right Backends for Your Needs <user_guide_backends>`"
msgstr ":ref:`올바른 추론 엔진 선택 <user_guide_backends>`"

#~ msgid ". code-block:: bash"
#~ msgstr ""

#~ msgid ""
#~ "docker run -e XINFERENCE_MODEL_SRC=modelscope -p 9998:9997 --gpus all "
#~ "xprobe/xinference:<your_version>-cu129 xinference-local -H 0.0.0.0 --log-"
#~ "level debug"
#~ msgstr ""
