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docker.io/kserve/huggingfaceserver:v0.16.0 linux/amd64

docker.io/kserve/huggingfaceserver:v0.16.0 - 国内下载镜像源 浏览次数:20

这是一个用于部署Hugging Face模型的KServe服务器镜像。它允许您轻松地将Hugging Face的预训练模型部署到Kubernetes集群中,并通过REST API进行服务。

源镜像 docker.io/kserve/huggingfaceserver:v0.16.0
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kserve/huggingfaceserver:v0.16.0
镜像ID sha256:b53d82097613015ce2962119cd996cf69e435c7ded92a20dbaf5adfcbd9ca1a8
镜像TAG v0.16.0
大小 7.39GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD
启动入口 python -m huggingfaceserver
工作目录
OS/平台 linux/amd64
浏览量 20 次
贡献者
镜像创建 2025-11-03T02:53:07.110821002Z
同步时间 2026-04-28 00:58
环境变量
PATH=/prod_venv/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin VIRTUAL_ENV=/prod_venv HF_HOME=/tmp/huggingface HF_HUB_DISABLE_TELEMETRY=1 LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libtcmalloc.so.4:/usr/lib/x86_64-linux-gnu/libjemalloc.so.2: PYTHONPATH=/huggingfaceserver
镜像标签
ubuntu: org.opencontainers.image.ref.name 22.04: org.opencontainers.image.version

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kserve/huggingfaceserver:v0.16.0
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kserve/huggingfaceserver:v0.16.0  docker.io/kserve/huggingfaceserver:v0.16.0

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kserve/huggingfaceserver:v0.16.0
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kserve/huggingfaceserver:v0.16.0  docker.io/kserve/huggingfaceserver:v0.16.0

Shell快速替换命令

sed -i 's#kserve/huggingfaceserver:v0.16.0#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kserve/huggingfaceserver:v0.16.0#' deployment.yaml

Ansible快速分发-Docker

#ansible k8s -m shell -a 'docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kserve/huggingfaceserver:v0.16.0 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kserve/huggingfaceserver:v0.16.0  docker.io/kserve/huggingfaceserver:v0.16.0'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kserve/huggingfaceserver:v0.16.0 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kserve/huggingfaceserver:v0.16.0  docker.io/kserve/huggingfaceserver:v0.16.0'

镜像构建历史


# 2025-11-03 10:53:07  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["python" "-m" "huggingfaceserver"]
                        
# 2025-11-03 10:53:07  0.00B 设置环境变量 PYTHONPATH
ENV PYTHONPATH=/huggingfaceserver
                        
# 2025-11-03 10:53:07  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2025-11-03 10:53:07  0.00B 设置环境变量 LD_PRELOAD
ENV LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libtcmalloc.so.4:/usr/lib/x86_64-linux-gnu/libjemalloc.so.2:
                        
# 2025-11-03 10:53:07  0.00B 设置环境变量 HF_HUB_DISABLE_TELEMETRY
ENV HF_HUB_DISABLE_TELEMETRY=1
                        
# 2025-11-03 10:53:07  0.00B 设置环境变量 HF_HOME
ENV HF_HOME=/tmp/huggingface
                        
# 2025-11-03 10:53:07  0.00B 执行命令并创建新的镜像层
RUN |2 PYTHON=python3 VENV_PATH=/prod_venv /bin/sh -c df -hT # buildkit
                        
# 2025-11-03 10:53:07  244.36KB 复制新文件或目录到容器中
COPY --chown=kserve:kserve storage storage # buildkit
                        
# 2025-11-03 10:53:07  7.13MB 复制新文件或目录到容器中
COPY --chown=kserve:kserve kserve kserve # buildkit
                        
# 2025-11-03 10:53:06  1.09MB 复制新文件或目录到容器中
COPY --chown=kserve:kserve huggingfaceserver huggingfaceserver # buildkit
                        
# 2025-11-03 10:53:06  6.73GB 复制新文件或目录到容器中
COPY --chown=kserve:kserve /prod_venv /prod_venv # buildkit
                        
# 2025-11-03 10:52:28  2.46MB 复制新文件或目录到容器中
COPY --chown=kserve:kserve third_party third_party # buildkit
                        
# 2025-11-03 10:49:55  333.74KB 执行命令并创建新的镜像层
RUN |2 PYTHON=python3 VENV_PATH=/prod_venv /bin/sh -c useradd kserve -m -u 1000 -d /home/kserve # buildkit
                        
# 2025-11-03 10:49:54  0.00B 设置环境变量 PATH
ENV PATH=/prod_venv/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2025-11-03 10:49:54  0.00B 设置环境变量 VIRTUAL_ENV
ENV VIRTUAL_ENV=/prod_venv
                        
# 2025-11-03 10:49:54  0.00B 定义构建参数
ARG VENV_PATH=/prod_venv
                        
# 2025-11-03 10:49:54  3.12KB 执行命令并创建新的镜像层
RUN |1 PYTHON=python3 /bin/sh -c echo 'ulimit -c 0' >> ~/.bashrc # buildkit
                        
# 2025-11-03 10:49:54  16.00B 执行命令并创建新的镜像层
RUN |1 PYTHON=python3 /bin/sh -c ln -sf "$(which ${PYTHON})" /usr/bin/python # buildkit
                        
# 2025-11-03 10:49:54  5.23KB 执行命令并创建新的镜像层
RUN |1 PYTHON=python3 /bin/sh -c update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-12 10 --slave /usr/bin/g++ g++ /usr/bin/g++-12 # buildkit
                        
# 2025-11-03 10:49:54  572.86MB 执行命令并创建新的镜像层
RUN |1 PYTHON=python3 /bin/sh -c apt-get update &&     apt-get upgrade -y &&     apt-get install --no-install-recommends --fix-missing -y         g++-12         gcc-12         google-perftools         libgl1         libglib2.0-0         libjemalloc2         libnuma1         numactl         python3.10-dev         python3.10-venv         python3-pip         curl &&     apt-get clean &&     apt-get autoclean &&     apt-get autoremove -y &&     rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-11-03 10:49:54  0.00B 定义构建参数
ARG PYTHON=python3
                        
# 2025-10-01 15:05:10  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2025-10-01 15:05:09  77.87MB 
/bin/sh -c #(nop) ADD file:32d41b6329e8f89fa4ac92ef97c04b7cfd5e90fb74e1509c3e27d7c91195b7c7 in / 
                        
# 2025-10-01 15:05:07  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2025-10-01 15:05:07  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2025-10-01 15:05:07  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2025-10-01 15:05:07  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

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    "Comment": "buildkit.dockerfile.v0",
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            "HF_HUB_DISABLE_TELEMETRY=1",
            "LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libtcmalloc.so.4:/usr/lib/x86_64-linux-gnu/libjemalloc.so.2:",
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更多版本

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