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docs
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# FunASR离线文件转写服务便捷部署教程
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FunASR提供可便捷本地或者云端服务器部署的离线文件转写服务，内核为FunASR已开源runtime-SDK。集成了达摩院语音实验室在Modelscope社区开源的语音端点检测(VAD)、Paraformer-large语音识别(ASR)、标点恢复(PUNC) 等相关能力，可以准确、高效的对音频进行高并发转写。
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## 环境安装与启动服务
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服务器配置与申请（免费试用1～3个月）（[点击此处](./aliyun_server_tutorial.md)）
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### 获得脚本工具并一键部署
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通过以下命令运行一键部署服务，按照提示逐步完成FunASR runtime-SDK服务的部署和运行。目前暂时仅支持Linux环境，其他环境参考文档[高阶开发指南](./SDK_advanced_guide_cn.md)
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[//]: # (受限于网络，funasr-runtime-deploy.sh一键部署工具的下载可能不顺利，遇到数秒还未下载进入一键部署工具的情况，请Ctrl + C 终止后再次运行以下命令。)
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```shell
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curl -O https://raw.githubusercontent.com/alibaba-damo-academy/FunASR/main/funasr/runtime/funasr-runtime-deploy.sh; sudo bash funasr-runtime-deploy.sh install
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# 如遇到网络问题，中国大陆用户，可以用个下面的命令：
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# curl -O https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/shell/funasr-runtime-deploy.sh; sudo bash funasr-runtime-deploy.sh install
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```
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#### 启动过程配置详解
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##### 选择FunASR Docker镜像
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推荐选择latest使用我们的最新镜像，也可选择历史版本。
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```text
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[1/9]
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Please choose the Docker image.
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1) registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-cpu-latest
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2) registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-cpu-0.1.0
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Enter your choice: 1
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You have chosen the Docker image: registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-cpu-latest
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```
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##### 选择ASR/VAD/PUNC模型
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你可以选择ModelScope中的模型，也可以选<model_name>自行填入ModelScope中的模型名，将会在Docker运行时自动下载。同时也可以选择<model_path>填入宿主机中的本地模型路径。
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```text
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[2/9]
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Please input [Y/n] to confirm whether to automatically download model_id in ModelScope or use a local model.
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[y] With the model in ModelScope, the model will be automatically downloaded to Docker(/workspace/models).
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If you select both the local model and the model in ModelScope, select [y].
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[n] Use the models on the localhost, the directory where the model is located will be mapped to Docker.
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Setting confirmation[Y/n]:
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You have chosen to use the model in ModelScope, please set the model ID in the next steps, and the model will be automatically downloaded in (/workspace/models) during the run.
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Please enter the local path to download models, the corresponding path in Docker is /workspace/models.
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Setting the local path to download models, default(/root/models):
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The local path(/root/models) set will store models during the run.
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[2.1/9]
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Please select ASR model_id in ModelScope from the list below.
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1) damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-onnx
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2) model_name
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3) model_path
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Enter your choice: 1
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The model ID is damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-onnx
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The model dir in Docker is /workspace/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-onnx
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[2.2/9]
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Please select VAD model_id in ModelScope from the list below.
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1) damo/speech_fsmn_vad_zh-cn-16k-common-onnx
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2) model_name
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3) model_path
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Enter your choice: 1
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The model ID is damo/speech_fsmn_vad_zh-cn-16k-common-onnx
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The model dir in Docker is /workspace/models/damo/speech_fsmn_vad_zh-cn-16k-common-onnx
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[2.3/9]
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Please select PUNC model_id in ModelScope from the list below.
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1) damo/punc_ct-transformer_zh-cn-common-vocab272727-onnx
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2) model_name
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3) model_path
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Enter your choice: 1
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The model ID is damo/punc_ct-transformer_zh-cn-common-vocab272727-onnx
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The model dir in Docker is /workspace/models/damo/punc_ct-transformer_zh-cn-common-vocab272727-onnx
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```
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##### 输入宿主机中FunASR服务可执行程序路径
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输入FunASR服务可执行程序的宿主机路径，Docker运行时将自动挂载到Docker中运行。默认不输入的情况下将指定Docker中默认的/workspace/FunASR/funasr/runtime/websocket/build/bin/funasr-wss-server。
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```text
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[3/9]
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Please enter the path to the excutor of the FunASR service on the localhost.
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If not set, the default /workspace/FunASR/funasr/runtime/websocket/build/bin/funasr-wss-server in Docker is used.
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Setting the path to the excutor of the FunASR service on the localhost:
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Corresponding, the path of FunASR in Docker is /workspace/FunASR/funasr/runtime/websocket/build/bin/funasr-wss-server
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```
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##### 设置宿主机提供给FunASR的端口
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设置提供给Docker的宿主机端口，默认为10095。请保证此端口可用。
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```text
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[4/9]
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Please input the opened port in the host used for FunASR server.
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Default: 10095
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Setting the opened host port [1-65535]:
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The port of the host is 10095
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The port in Docker for FunASR server is 10095
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```
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##### 设置FunASR服务的推理线程数
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设置FunASR服务的推理线程数，默认为宿主机核数，同时自动设置服务的IO线程数，为推理线程数的四分之一。
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```text
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[5/9]
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Please input thread number for FunASR decoder.
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Default: 1
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Setting the number of decoder thread:
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The number of decoder threads is 1
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The number of IO threads is 1
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```
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##### 所有设置参数展示及确认
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展示前面6步设置的参数，确认则将所有参数存储到/var/funasr/config，并开始启动Docker，否则提示用户进行重新设置。
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```text
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[6/9]
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Show parameters of FunASR server setting and confirm to run ...
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The current Docker image is : registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-cpu-latest
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The model is downloaded or stored to this directory in local : /root/models
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The model will be automatically downloaded to the directory : /workspace/models
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The ASR model_id used : damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-onnx
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The ASR model directory corresponds to the directory in Docker : /workspace/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-onnx
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The VAD model_id used : damo/speech_fsmn_vad_zh-cn-16k-common-onnx
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The VAD model directory corresponds to the directory in Docker : /workspace/models/damo/speech_fsmn_vad_zh-cn-16k-common-onnx
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The PUNC model_id used : damo/punc_ct-transformer_zh-cn-common-vocab272727-onnx
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The PUNC model directory corresponds to the directory in Docker: /workspace/models/damo/punc_ct-transformer_zh-cn-common-vocab272727-onnx
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The path in the docker of the FunASR service executor : /workspace/FunASR/funasr/runtime/websocket/build/bin/funasr-wss-server
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Set the host port used for use by the FunASR service : 10095
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Set the docker port used by the FunASR service : 10095
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Set the number of threads used for decoding the FunASR service : 1
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Set the number of threads used for IO the FunASR service : 1
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Please input [Y/n] to confirm the parameters.
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[y] Verify that these parameters are correct and that the service will run.
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[n] The parameters set are incorrect, it will be rolled out, please rerun.
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read confirmation[Y/n]:
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Will run FunASR server later ...
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Parameters are stored in the file /var/funasr/config
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```
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##### 检查Docker服务
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检查当前宿主机是否安装了Docker服务，若未安装，则安装Docker并启动。
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```text
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[7/9]
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Start install docker for ubuntu
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Get docker installer: curl -fsSL https://test.docker.com -o test-docker.sh
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Get docker run: sudo sh test-docker.sh
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# Executing docker install script, commit: c2de0811708b6d9015ed1a2c80f02c9b70c8ce7b
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+ sh -c apt-get update -qq >/dev/null
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+ sh -c DEBIAN_FRONTEND=noninteractive apt-get install -y -qq apt-transport-https ca-certificates curl >/dev/null
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+ sh -c install -m 0755 -d /etc/apt/keyrings
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+ sh -c curl -fsSL "https://download.docker.com/linux/ubuntu/gpg" | gpg --dearmor --yes -o /etc/apt/keyrings/docker.gpg
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+ sh -c chmod a+r /etc/apt/keyrings/docker.gpg
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+ sh -c echo "deb [arch=amd64 signed-by=/etc/apt/keyrings/docker.gpg] https://download.docker.com/linux/ubuntu focal test" > /etc/apt/sources.list.d/docker.list
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+ sh -c apt-get update -qq >/dev/null
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+ sh -c DEBIAN_FRONTEND=noninteractive apt-get install -y -qq docker-ce docker-ce-cli containerd.io docker-compose-plugin docker-ce-rootless-extras docker-buildx-plugin >/dev/null
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+ sh -c docker version
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Client: Docker Engine - Community
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Version: 24.0.2
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...
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...
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Docker install success, start docker server.
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```
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##### 下载FunASR Docker镜像
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下载并更新step1.1中选择的FunASR Docker镜像。
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```text
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[8/9]
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Pull docker image(registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-cpu-latest)...
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funasr-runtime-cpu-0.0.1: Pulling from funasr_repo/funasr
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7608715873ec: Pull complete
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3e1014c56f38: Pull complete
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...
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...
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```
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##### 启动FunASR Docker
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启动FunASR Docker，等待step1.2选择的模型下载完成并启动FunASR服务。
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```text
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[9/9]
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Construct command and run docker ...
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943d8f02b4e5011b71953a0f6c1c1b9bc5aff63e5a96e7406c83e80943b23474
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Loading models:
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[ASR ][Done ][==================================================][100%][1.10MB/s][v1.2.1]
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[VAD ][Done ][==================================================][100%][7.26MB/s][v1.2.0]
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[PUNC][Done ][==================================================][100%][ 474kB/s][v1.1.7]
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The service has been started.
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If you want to see an example of how to use the client, you can run sudo bash funasr-runtime-deploy.sh -c .
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```
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#### 启动已经部署过的FunASR服务
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一键部署后若出现重启电脑等关闭Docker的动作，可通过如下命令直接启动FunASR服务，启动配置为上次一键部署的设置。
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```shell
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sudo bash funasr-runtime-deploy.sh start
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```
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#### 关闭FunASR服务
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```shell
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sudo bash funasr-runtime-deploy.sh stop
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```
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#### 重启FunASR服务
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根据上次一键部署的设置重启启动FunASR服务。
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```shell
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sudo bash funasr-runtime-deploy.sh restart
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```
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#### 替换模型并重启FunASR服务
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替换正在使用的模型，并重新启动FunASR服务。模型需为ModelScope中的ASR/VAD/PUNC模型，或者从ModelScope中模型finetune后的模型。
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```shell
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sudo bash funasr-runtime-deploy.sh update model <model ID>
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e.g
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sudo bash funasr-runtime-deploy.sh update model damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch
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```
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### 测试与使用离线文件转写服务
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在服务器上完成FunASR服务部署以后，可以通过如下的步骤来测试和使用离线文件转写服务。目前分别支持Python、C++、Java版本client的的命令行运行，以及可在浏览器可直接体验的html网页版本，更多语言client支持参考文档【FunASR高阶开发指南】。
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funasr-runtime-deploy.sh运行结束后，可通过命令以交互的形式自动下载测试样例samples到当前目录的funasr_samples中，并设置参数运行：
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```shell
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sudo bash funasr-runtime-deploy.sh client
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```
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可选择提供的Python和Linux C++范例程序，以Python范例为例：
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```text
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Will download sample tools for the client to show how speech recognition works.
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Please select the client you want to run.
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1) Python
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2) Linux_Cpp
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Enter your choice: 1
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Please enter the IP of server, default(127.0.0.1):
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Please enter the port of server, default(10095):
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Please enter the audio path, default(/root/funasr_samples/audio/asr_example.wav):
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Run pip3 install click>=8.0.4
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Looking in indexes: http://mirrors.cloud.aliyuncs.com/pypi/simple/
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Requirement already satisfied: click>=8.0.4 in /usr/local/lib/python3.8/dist-packages (8.1.3)
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Run pip3 install -r /root/funasr_samples/python/requirements_client.txt
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Looking in indexes: http://mirrors.cloud.aliyuncs.com/pypi/simple/
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Requirement already satisfied: websockets in /usr/local/lib/python3.8/dist-packages (from -r /root/funasr_samples/python/requirements_client.txt (line 1)) (11.0.3)
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Run python3 /root/funasr_samples/python/wss_client_asr.py --host 127.0.0.1 --port 10095 --mode offline --audio_in /root/funasr_samples/audio/asr_example.wav --send_without_sleep --output_dir ./funasr_samples/python
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...
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...
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pid0_0: 欢迎大家来体验达摩院推出的语音识别模型。
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Exception: sent 1000 (OK); then received 1000 (OK)
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end
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If failed, you can try (python3 /root/funasr_samples/python/wss_client_asr.py --host 127.0.0.1 --port 10095 --mode offline --audio_in /root/funasr_samples/audio/asr_example.wav --send_without_sleep --output_dir ./funasr_samples/python) in your Shell.
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```
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#### python-client
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若想直接运行client进行测试，可参考如下简易说明，以python版本为例：
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```shell
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python3 wss_client_asr.py --host "127.0.0.1" --port 10095 --mode offline --audio_in "../audio/asr_example.wav" --send_without_sleep --output_dir "./results"
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```
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命令参数说明：
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```text
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--host 为FunASR runtime-SDK服务部署机器ip，默认为本机ip（127.0.0.1），如果client与服务不在同一台服务器，需要改为部署机器ip
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--port 10095 部署端口号
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--mode offline表示离线文件转写
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--audio_in 需要进行转写的音频文件，支持文件路径，文件列表wav.scp
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--output_dir 识别结果保存路径
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```
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#### cpp-client
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```shell
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export LD_LIBRARY_PATH=/root/funasr_samples/cpp/libs:$LD_LIBRARY_PATH
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/root/funasr_samples/cpp/funasr-wss-client --server-ip 127.0.0.1 --port 10095 --wav-path /root/funasr_samples/audio/asr_example.wav
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```
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命令参数说明：
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```text
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--server-ip 为FunASR runtime-SDK服务部署机器ip，默认为本机ip（127.0.0.1），如果client与服务不在同一台服务器，需要改为部署机器ip
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--port 10095 部署端口号
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--wav-path 需要进行转写的音频文件，支持文件路径
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```
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### 视频demo
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[点击此处]()
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170
funasr/runtime/docs/SDK_tutorial_zh.md
Normal file
170
funasr/runtime/docs/SDK_tutorial_zh.md
Normal file
@ -0,0 +1,170 @@
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# FunASR离线文件转写服务便捷部署教程
|
||||
|
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FunASR提供可便捷本地或者云端服务器部署的离线文件转写服务，内核为FunASR已开源runtime-SDK。
|
||||
集成了达摩院语音实验室在Modelscope社区开源的语音端点检测(VAD)、Paraformer-large语音识别(ASR)、标点恢复(PUNC) 等相关能力，拥有完整的语音识别链路，可以将几十个小时的音频识别成带标点的文字，而且支持上百路并发同时进行识别。
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## 服务器配置
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用户可以根据自己的业务需求，选择合适的服务器配置，推荐配置为：
|
||||
- 配置1: （X86，计算型），4核vCPU，内存8G，单机可以支持大约32路的请求
|
||||
- 配置2: （X86，计算型），16核vCPU，内存32G，单机可以支持大约64路的请求
|
||||
- 配置3: （X86，计算型），64核vCPU，内存128G，单机可以支持大约200路的请求
|
||||
|
||||
详细性能测试报告：[点此链接](./benchmark_onnx_cpp.md)
|
||||
|
||||
云服务厂商，针对新用户，有3个月免费试用活动，申请教程（[点击此处](./aliyun_server_tutorial.md)）
|
||||
|
||||
## 快速上手
|
||||
|
||||
通过以下命令运行一键部署服务，按照提示逐步完成FunASR runtime-SDK服务的部署和运行。目前暂时仅支持Linux环境，其他环境参考文档[高阶开发指南](./SDK_advanced_guide_cn.md)
|
||||
|
||||
```shell
|
||||
curl -O https://raw.githubusercontent.com/alibaba-damo-academy/FunASR/main/funasr/runtime/funasr-runtime-deploy.sh; sudo bash funasr-runtime-deploy.sh install
|
||||
# 如遇到网络问题，中国大陆用户，可以用个下面的命令：
|
||||
# curl -O https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/shell/funasr-runtime-deploy.sh; sudo bash funasr-runtime-deploy.sh install
|
||||
```
|
||||
|
||||
## 测试与使用
|
||||
|
||||
在服务器上完成FunASR服务部署以后，可以通过如下的步骤来测试和使用离线文件转写服务。
|
||||
目前分别支持以下几种编程语言客户端
|
||||
|
||||
- Python
|
||||
- C++
|
||||
- Java
|
||||
- html网页版本
|
||||
|
||||
我们以Python语言客户端为例，进行说明，其他版本客户端请参考[开发指南]()
|
||||
|
||||
#### python-client
|
||||
若想直接运行client进行测试，可参考如下简易说明，以python版本为例：
|
||||
|
||||
```shell
|
||||
python3 wss_client_asr.py --host "127.0.0.1" --port 10095 --mode offline --audio_in "../audio/asr_example.wav" --send_without_sleep --output_dir "./results"
|
||||
```
|
||||
|
||||
命令参数说明：
|
||||
```text
|
||||
--host 为FunASR runtime-SDK服务部署机器ip，默认为本机ip（127.0.0.1），如果client与服务不在同一台服务器，需要改为部署机器ip
|
||||
--port 10095 部署端口号
|
||||
--mode offline表示离线文件转写
|
||||
--audio_in 需要进行转写的音频文件，支持文件路径，文件列表wav.scp
|
||||
--output_dir 识别结果保存路径
|
||||
```
|
||||
|
||||
[//]: # (#### cpp-client)
|
||||
|
||||
[//]: # ()
|
||||
[//]: # (```shell)
|
||||
|
||||
[//]: # (export LD_LIBRARY_PATH=/root/funasr_samples/cpp/libs:$LD_LIBRARY_PATH)
|
||||
|
||||
[//]: # (/root/funasr_samples/cpp/funasr-wss-client --server-ip 127.0.0.1 --port 10095 --wav-path /root/funasr_samples/audio/asr_example.wav)
|
||||
|
||||
[//]: # (```)
|
||||
|
||||
[//]: # ()
|
||||
[//]: # (命令参数说明：)
|
||||
|
||||
[//]: # ()
|
||||
[//]: # (```text)
|
||||
|
||||
[//]: # (--server-ip 为FunASR runtime-SDK服务部署机器ip，默认为本机ip（127.0.0.1），如果client与服务不在同一台服务器，需要改为部署机器ip)
|
||||
|
||||
[//]: # (--port 10095 部署端口号)
|
||||
|
||||
[//]: # (--wav-path 需要进行转写的音频文件，支持文件路径)
|
||||
|
||||
[//]: # (```)
|
||||
|
||||
## 服务端常见操作介绍
|
||||
|
||||
### 启动已经部署过的FunASR服务
|
||||
一键部署后若出现重启电脑等关闭Docker的动作，可通过如下命令直接启动FunASR服务，启动配置为上次一键部署的设置。
|
||||
|
||||
```shell
|
||||
sudo bash funasr-runtime-deploy.sh start
|
||||
```
|
||||
|
||||
### 关闭FunASR服务
|
||||
|
||||
```shell
|
||||
sudo bash funasr-runtime-deploy.sh stop
|
||||
```
|
||||
|
||||
### 重启FunASR服务
|
||||
|
||||
根据上次一键部署的设置重启启动FunASR服务。
|
||||
```shell
|
||||
sudo bash funasr-runtime-deploy.sh restart
|
||||
```
|
||||
|
||||
### 替换模型并重启FunASR服务
|
||||
|
||||
替换正在使用的模型，并重新启动FunASR服务。模型需为ModelScope中的ASR/VAD/PUNC模型，或者从ModelScope中模型finetune后的模型。
|
||||
|
||||
```shell
|
||||
sudo bash funasr-runtime-deploy.sh update model <model ID>
|
||||
|
||||
e.g
|
||||
sudo bash funasr-runtime-deploy.sh update model damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch
|
||||
```
|
||||
|
||||
|
||||
### 服务端启动过程配置详解
|
||||
|
||||
##### 选择FunASR Docker镜像
|
||||
推荐选择latest使用我们的最新镜像，也可选择历史版本。
|
||||
```text
|
||||
[1/9]
|
||||
Please choose the Docker image.
|
||||
1) registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-cpu-latest
|
||||
2) registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-cpu-0.1.0
|
||||
Enter your choice: 1
|
||||
You have chosen the Docker image: registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-cpu-latest
|
||||
```
|
||||
|
||||
|
||||
##### 设置宿主机提供给FunASR的端口
|
||||
设置提供给Docker的宿主机端口，默认为10095。请保证此端口可用。
|
||||
```text
|
||||
[4/9]
|
||||
Please input the opened port in the host used for FunASR server.
|
||||
Default: 10095
|
||||
Setting the opened host port [1-65535]:
|
||||
The port of the host is 10095
|
||||
The port in Docker for FunASR server is 10095
|
||||
```
|
||||
|
||||
|
||||
##### 设置FunASR服务的推理线程数
|
||||
设置FunASR服务的推理线程数，默认为宿主机核数，同时自动设置服务的IO线程数，为推理线程数的四分之一。
|
||||
```text
|
||||
[5/9]
|
||||
Please input thread number for FunASR decoder.
|
||||
Default: 1
|
||||
Setting the number of decoder thread:
|
||||
|
||||
The number of decoder threads is 1
|
||||
The number of IO threads is 1
|
||||
```
|
||||
|
||||
|
||||
## 视频demo
|
||||
|
||||
[点击此处]()
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
@ -14,18 +14,18 @@ SDK 支持以下几种服务部署：
|
||||
|
||||
## 中文离线文件转写服务部署（CPU版本）
|
||||
|
||||
目前FunASR runtime-SDK-0.0.1版本已支持中文语音离线文件服务部署（CPU版本），拥有完整的语音识别链路，可以将几十个小时的音频识别成带标点的文字，而且支持上百路并发同时进行识别。
|
||||
中文语音离线文件服务部署（CPU版本），拥有完整的语音识别链路，可以将几十个小时的音频识别成带标点的文字，而且支持上百路并发同时进行识别。
|
||||
为了支持不同用户的需求，针对不同场景，准备了不同的图文教程：
|
||||
|
||||
为了支持不同用户的需求，我们分别针对小白与高阶开发者，准备了不同的图文教程：
|
||||
### 便捷部署教程
|
||||
|
||||
适用场景为，对服务部署SDK无修改需求，部署模型来自于ModelScope，或者用户finetune，详细教程参考（[点击此处](./docs/SDK_tutorial_cn.md)）
|
||||
|
||||
### 技术原理揭秘
|
||||
|
||||
文档介绍了背后技术原理，识别准确率，计算效率等，以及核心优势介绍：便捷、高精度、高效率、长音频链路，详细文档参考（[点击此处](https://mp.weixin.qq.com/s?__biz=MzA3MTQ0NTUyMw==&tempkey=MTIyNF84d05USjMxSEpPdk5GZXBJUFNJNzY0bU1DTkxhV19mcWY4MTNWQTJSYXhUaFgxOWFHZTZKR0JzWC1JRmRCdUxCX2NoQXg0TzFpNmVJX2R1WjdrcC02N2FEcUc3MDhzVVhpNWQ5clU4QUdqNFdkdjFYb18xRjlZMmc5c3RDOTl0U0NiRkJLb05ZZ0RmRlVkVjFCZnpXNWFBVlRhbXVtdWs4bUMwSHZnfn4%3D&chksm=1f2c3254285bbb42bc8f76a82e9c5211518a0bb1ff8c357d085c1b78f675ef2311f3be6e282c#rd)）
|
||||
|
||||
### 便捷部署教程
|
||||
### 开发指南
|
||||
|
||||
文档主要针对小白用户与初级开发者，没有修改、定制需求，支持从modelscope中下载模型部署，也支持用户finetune后的模型部署，详细教程参考（[点击此处](./docs/SDK_tutorial_cn.md)）
|
||||
适用场景为，对服务部署SDK有修改需求，部署模型来自于ModelScope，或者用户finetune，详细文档参考（[点击此处](./docs/SDK_advanced_guide_offline_cn.md)）
|
||||
|
||||
### 高阶开发指南
|
||||
|
||||
文档主要针对高阶开发者，需要对服务进行修改与定制，支持从modelscope中下载模型部署，也支持用户finetune后的模型部署，详细文档参考（[点击此处](./docs/SDK_advanced_guide_offline_cn.md)）
|
||||
|
||||
Loading…
Reference in New Issue
Block a user