ghcr.io/huggingface/text-embeddings-inference:turing-1.9.3 - 镜像下载

ghcr.io/huggingface/text-embeddings-inference:turing-1.9.3

linux/amd64 ghcr.io 李国元贡献

文本嵌入推断

Hugging Face 提供了一个用于文本嵌入推断的 Docker 镜像。

浏览次数

4.82GB

镜像大小

国内镜像

swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/huggingface/text-embeddings-inference:turing-1.9.3

源镜像

ghcr.io/huggingface/text-embeddings-inference:turing-1.9.3

镜像ID

sha256:520d1878695442d93ce730bfff5c1b3d17b3989ce92dfcdc80ba1237994652cb

镜像 TAG

turing-1.9.3

镜像大小

4.82GB

平台架构

linux/amd64

镜像源

ghcr.io

CMD

--json-output

启动入口

./entrypoint.sh

工作目录

OS/平台

linux/amd64

镜像创建

2026-03-23T08:48:48.738208409Z

同步时间

2026-07-22 18:00

浏览量

12 次

贡献者

李国元

⚙️ 环境变量 24

Key	Value
`PATH=/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin`	`0`
`NVARCH=x86_64`	`1`
NVIDIA_REQUIRE_CUDA=cuda>=12.9 brand=unknown,driver>=535,driver<536 brand=grid,driver>=535,driver<536 brand=tesla,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=vapps,driver>=535,driver<536 brand=vpc,driver>=535,driver<536 brand=vcs,driver>=535,driver<536 brand=vws,driver>=535,driver<536 brand=cloudgaming,driver>=535,driver<536 brand=unknown,driver>=550,driver<551 brand=grid,driver>=550,driver<551 brand=tesla,driver>=550,driver<551 brand=nvidia,driver>=550,driver<551 brand=quadro,driver>=550,driver<551 brand=quadrortx,driver>=550,driver<551 brand=nvidiartx,driver>=550,driver<551 brand=vapps,driver>=550,driver<551 brand=vpc,driver>=550,driver<551 brand=vcs,driver>=550,driver<551 brand=vws,driver>=550,driver<551 brand=cloudgaming,driver>=550,driver<551 brand=unknown,driver>=560,driver<561 brand=grid,driver>=560,driver<561 brand=tesla,driver>=560,driver<561 brand=nvidia,driver>=560,driver<561 brand=quadro,driver>=560,driver<561 brand=quadrortx,driver>=560,driver<561 brand=nvidiartx,driver>=560,driver<561 brand=vapps,driver>=560,driver<561 brand=vpc,driver>=560,driver<561 brand=vcs,driver>=560,driver<561 brand=vws,driver>=560,driver<561 brand=cloudgaming,driver>=560,driver<561 brand=unknown,driver>=565,driver<566 brand=grid,driver>=565,driver<566 brand=tesla,driver>=565,driver<566 brand=nvidia,driver>=565,driver<566 brand=quadro,driver>=565,driver<566 brand=quadrortx,driver>=565,driver<566 brand=nvidiartx,driver>=565,driver<566 brand=vapps,driver>=565,driver<566 brand=vpc,driver>=565,driver<566 brand=vcs,driver>=565,driver<566 brand=vws,driver>=565,driver<566 brand=cloudgaming,driver>=565,driver<566 brand=unknown,driver>=570,driver<571 brand=grid,driver>=570,driver<571 brand=tesla,driver>=570,driver<571 brand=nvidia,driver>=570,driver<571 brand=quadro,driver>=570,driver<571 brand=quadrortx,driver>=570,driver<571 brand=nvidiartx,driver>=570,driver<571 brand=vapps,driver>=570,driver<571 brand=vpc,driver>=570,driver<571 brand=vcs,driver>=570,driver<571 brand=vws,driver>=570,driver<571 brand=cloudgaming,driver>=570,driver<571	`2`
`NV_CUDA_CUDART_VERSION=12.9.79-1`	`3`
`CUDA_VERSION=12.9.1`	`4`
`LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/cuda/lib64`	`5`
`NVIDIA_VISIBLE_DEVICES=all`	`6`
`NVIDIA_DRIVER_CAPABILITIES=compute,utility`	`7`
`NV_CUDA_LIB_VERSION=12.9.1-1`	`8`
`NV_NVTX_VERSION=12.9.79-1`	`9`
`NV_LIBNPP_VERSION=12.4.1.87-1`	`10`
`NV_LIBNPP_PACKAGE=libnpp-12-9=12.4.1.87-1`	`11`
`NV_LIBCUSPARSE_VERSION=12.5.10.65-1`	`12`
`NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-9`	`13`
`NV_LIBCUBLAS_VERSION=12.9.1.4-1`	`14`
`NV_LIBCUBLAS_PACKAGE=libcublas-12-9=12.9.1.4-1`	`15`
`NV_LIBNCCL_PACKAGE_NAME=libnccl2`	`16`
`NV_LIBNCCL_PACKAGE_VERSION=2.27.3-1`	`17`
`NCCL_VERSION=2.27.3-1`	`18`
`NV_LIBNCCL_PACKAGE=libnccl2=2.27.3-1+cuda12.9`	`19`
`NVIDIA_PRODUCT_NAME=CUDA`	`20`
`HUGGINGFACE_HUB_CACHE=/data`	`21`
`PORT=80`	`22`
`USE_FLASH_ATTENTION=False`	`23`

🏷️ 镜像标签 10

Key	Value
`NVIDIA CORPORATION <cudatools@nvidia.com>`	`maintainer`
`2026-03-23T11:58:58.455Z`	`org.opencontainers.image.created`
`A blazing fast inference solution for text embeddings models`	`org.opencontainers.image.description`
`Apache-2.0`	`org.opencontainers.image.licenses`
`ubuntu`	`org.opencontainers.image.ref.name`
`06670157fb6c1523482219bdb2d1660277d38088`	`org.opencontainers.image.revision`
`https://github.com/huggingface/text-embeddings-inference`	`org.opencontainers.image.source`
`text-embeddings-inference`	`org.opencontainers.image.title`
`https://github.com/huggingface/text-embeddings-inference`	`org.opencontainers.image.url`
`turing-1.9.3`	`org.opencontainers.image.version`

🛡️ 镜像安全扫描

ubuntu 24.04 Trivy 2026-07-22 18:00 查看完整报告

低危 LOW

中危 MEDIUM

高危 HIGH

严重 CRITICAL

受影响目标 (1)

ghcr.io/huggingface/text-embeddings-inference:turing-1.9.3 (ubuntu 24.04) ubuntu

Chatgpt|Claude一站式支持平台提供先进的AI镜像服务，助你在国内优雅的使用Chatgpt和Claude等AI服务

无权限下载？点我修复生成 Docker Run 命令生成 Kubernetes YAML

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/huggingface/text-embeddings-inference:turing-1.9.3
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/huggingface/text-embeddings-inference:turing-1.9.3  ghcr.io/huggingface/text-embeddings-inference:turing-1.9.3

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/huggingface/text-embeddings-inference:turing-1.9.3
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/huggingface/text-embeddings-inference:turing-1.9.3  ghcr.io/huggingface/text-embeddings-inference:turing-1.9.3

Shell快速替换命令

sed -i 's#ghcr.io/huggingface/text-embeddings-inference:turing-1.9.3#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/huggingface/text-embeddings-inference:turing-1.9.3#' deployment.yaml

Ansible快速分发-Docker

#ansible k8s -m shell -a 'docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/huggingface/text-embeddings-inference:turing-1.9.3 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/huggingface/text-embeddings-inference:turing-1.9.3  ghcr.io/huggingface/text-embeddings-inference:turing-1.9.3'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/huggingface/text-embeddings-inference:turing-1.9.3 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/huggingface/text-embeddings-inference:turing-1.9.3  ghcr.io/huggingface/text-embeddings-inference:turing-1.9.3'

镜像构建历史


# 2026-03-23 16:48:48  0.00B 设置默认要执行的命令
CMD ["--json-output"]
                        
# 2026-03-23 16:48:48  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["./entrypoint.sh"]
                        
# 2026-03-23 16:48:48  932.37MB 复制新文件或目录到容器中
COPY /usr/src/target/release/text-embeddings-router /usr/local/bin/text-embeddings-router # buildkit
                        
# 2026-03-13 04:12:29  917.00B 复制新文件或目录到容器中
COPY --chmod=775 cuda-entrypoint.sh entrypoint.sh # buildkit
                        
# 2026-03-13 04:12:29  26.07MB 执行命令并创建新的镜像层
RUN |1 DEFAULT_USE_FLASH_ATTENTION=False /bin/sh -c apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends     ca-certificates     libssl-dev     curl     cuda-compat-12-9     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-03-13 04:12:29  0.00B 设置环境变量 HUGGINGFACE_HUB_CACHE PORT USE_FLASH_ATTENTION LD_LIBRARY_PATH
ENV HUGGINGFACE_HUB_CACHE=/data PORT=80 USE_FLASH_ATTENTION=False LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/cuda/lib64
                        
# 2026-03-13 04:12:29  0.00B 定义构建参数
ARG DEFAULT_USE_FLASH_ATTENTION=False
                        
# 2025-07-19 04:22:35  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2025-07-19 04:22:35  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2025-07-19 04:22:35  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2025-07-19 04:22:35  3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2025-07-19 04:22:35  240.07KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
                        
# 2025-07-19 04:22:35  3.46GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     cuda-libraries-12-9=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-12-9=${NV_NVTX_VERSION}     libcusparse-12-9=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-07-19 04:22:35  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2025-07-19 04:22:35  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2025-07-19 04:22:35  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.27.3-1+cuda12.9
                        
# 2025-07-19 04:22:35  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.27.3-1
                        
# 2025-07-19 04:22:35  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.27.3-1
                        
# 2025-07-19 04:22:35  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2025-07-19 04:22:35  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-9=12.9.1.4-1
                        
# 2025-07-19 04:22:35  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.9.1.4-1
                        
# 2025-07-19 04:22:35  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-9
                        
# 2025-07-19 04:22:35  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.5.10.65-1
                        
# 2025-07-19 04:22:35  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-9=12.4.1.87-1
                        
# 2025-07-19 04:22:35  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.4.1.87-1
                        
# 2025-07-19 04:22:35  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.9.79-1
                        
# 2025-07-19 04:22:35  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.9.1-1
                        
# 2025-07-19 04:11:18  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2025-07-19 04:11:18  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2025-07-19 04:11:18  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2025-07-19 04:11:18  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/cuda/lib64
                        
# 2025-07-19 04:11:18  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2025-07-19 04:11:18  22.00B 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/cuda/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
                        
# 2025-07-19 04:11:18  315.62MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     cuda-cudart-12-9=${NV_CUDA_CUDART_VERSION}     cuda-compat-12-9     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-07-19 04:11:02  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.9.1
                        
# 2025-07-19 04:11:02  10.26MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     gnupg2 curl ca-certificates &&     curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2404/${NVARCH}/3bf863cc.pub | apt-key add - &&     echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2404/${NVARCH} /" > /etc/apt/sources.list.d/cuda.list &&     apt-get purge --autoremove -y curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-07-19 04:11:02  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2025-07-19 04:11:02  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2025-07-19 04:11:02  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.9.79-1
                        
# 2025-07-19 04:11:02  0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand
ENV NVIDIA_REQUIRE_CUDA=cuda>=12.9 brand=unknown,driver>=535,driver<536 brand=grid,driver>=535,driver<536 brand=tesla,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=vapps,driver>=535,driver<536 brand=vpc,driver>=535,driver<536 brand=vcs,driver>=535,driver<536 brand=vws,driver>=535,driver<536 brand=cloudgaming,driver>=535,driver<536 brand=unknown,driver>=550,driver<551 brand=grid,driver>=550,driver<551 brand=tesla,driver>=550,driver<551 brand=nvidia,driver>=550,driver<551 brand=quadro,driver>=550,driver<551 brand=quadrortx,driver>=550,driver<551 brand=nvidiartx,driver>=550,driver<551 brand=vapps,driver>=550,driver<551 brand=vpc,driver>=550,driver<551 brand=vcs,driver>=550,driver<551 brand=vws,driver>=550,driver<551 brand=cloudgaming,driver>=550,driver<551 brand=unknown,driver>=560,driver<561 brand=grid,driver>=560,driver<561 brand=tesla,driver>=560,driver<561 brand=nvidia,driver>=560,driver<561 brand=quadro,driver>=560,driver<561 brand=quadrortx,driver>=560,driver<561 brand=nvidiartx,driver>=560,driver<561 brand=vapps,driver>=560,driver<561 brand=vpc,driver>=560,driver<561 brand=vcs,driver>=560,driver<561 brand=vws,driver>=560,driver<561 brand=cloudgaming,driver>=560,driver<561 brand=unknown,driver>=565,driver<566 brand=grid,driver>=565,driver<566 brand=tesla,driver>=565,driver<566 brand=nvidia,driver>=565,driver<566 brand=quadro,driver>=565,driver<566 brand=quadrortx,driver>=565,driver<566 brand=nvidiartx,driver>=565,driver<566 brand=vapps,driver>=565,driver<566 brand=vpc,driver>=565,driver<566 brand=vcs,driver>=565,driver<566 brand=vws,driver>=565,driver<566 brand=cloudgaming,driver>=565,driver<566 brand=unknown,driver>=570,driver<571 brand=grid,driver>=570,driver<571 brand=tesla,driver>=570,driver<571 brand=nvidia,driver>=570,driver<571 brand=quadro,driver>=570,driver<571 brand=quadrortx,driver>=570,driver<571 brand=nvidiartx,driver>=570,driver<571 brand=vapps,driver>=570,driver<571 brand=vpc,driver>=570,driver<571 brand=vcs,driver>=570,driver<571 brand=vws,driver>=570,driver<571 brand=cloudgaming,driver>=570,driver<571
                        
# 2025-07-19 04:11:02  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2025-07-15 00:40:23  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2025-07-15 00:40:22  78.12MB 
/bin/sh -c #(nop) ADD file:b4619a63cd7829e1338ddaa4995ca17003002dd54b0dfd675a6f54a2b69151a6 in / 
                        
# 2025-07-15 00:40:20  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=24.04
                        
# 2025-07-15 00:40:20  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2025-07-15 00:40:20  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2025-07-15 00:40:20  0.00B 
/bin/sh -c #(nop)  ARG RELEASE

镜像信息

{
    "Id": "sha256:520d1878695442d93ce730bfff5c1b3d17b3989ce92dfcdc80ba1237994652cb",
    "RepoTags": [
        "ghcr.io/huggingface/text-embeddings-inference:turing-1.9.3",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/huggingface/text-embeddings-inference:turing-1.9.3"
    ],
    "RepoDigests": [
        "ghcr.io/huggingface/text-embeddings-inference@sha256:dee4a1493f54fbfd444c6e02bc95bfecaa22b9430c3655fb1d018a22ea991473",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/huggingface/text-embeddings-inference@sha256:65bb0e68f0596b3050389b78915799bb28add95e2513976dfc691ed7c4d86c18"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2026-03-23T08:48:48.738208409Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
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