ghcr.io/huggingface/text-embeddings-inference:120-latest - 镜像下载

ℹ️

注意：这是一个 latest 标签镜像

latest 并不代表最新版本，本站同步时间存在延迟，无法保证此镜像与上游最新版本一致。
生产环境建议使用明确的版本号（如 v1.2.3），避免因版本不一致导致问题。了解更多 →

ghcr.io/huggingface/text-embeddings-inference:120-latest

linux/amd64 ghcr.io 春眠不觉晓贡献

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

5.09GB

镜像大小

国内镜像

swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/huggingface/text-embeddings-inference:120-latest

源镜像

ghcr.io/huggingface/text-embeddings-inference:120-latest

镜像ID

sha256:956b2badf117683ba45369dd6ad88972c5dc96dc6bcd2f6cd92d2052054b9c3a

镜像 TAG

120-latest

镜像大小

5.09GB

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

2026-09-23T12:53:42.665925894Z

同步时间

2026-09-27 00:05

浏览量

20 次

贡献者

春眠不觉晓

⚙️ 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=True`	`23`

🏷️ 镜像标签 10

Key	Value
`NVIDIA CORPORATION <cudatools@nvidia.com>`	`maintainer`
`2026-09-23T12:40:04.545Z`	`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`
`98b7ea2ddb928eccbfde41d96e9576f876d045f4`	`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`
`120-latest`	`org.opencontainers.image.version`

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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:120-latest
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/huggingface/text-embeddings-inference:120-latest  ghcr.io/huggingface/text-embeddings-inference:120-latest

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/huggingface/text-embeddings-inference:120-latest
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/huggingface/text-embeddings-inference:120-latest  ghcr.io/huggingface/text-embeddings-inference:120-latest

Shell快速替换命令

sed -i 's#ghcr.io/huggingface/text-embeddings-inference:120-latest#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/huggingface/text-embeddings-inference:120-latest#' 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:120-latest && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/huggingface/text-embeddings-inference:120-latest  ghcr.io/huggingface/text-embeddings-inference:120-latest'

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:120-latest && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/huggingface/text-embeddings-inference:120-latest  ghcr.io/huggingface/text-embeddings-inference:120-latest'

镜像构建历史


# 2026-09-23 20:53:42  0.00B 设置默认要执行的命令
CMD ["--json-output"]
                        
# 2026-09-23 20:53:42  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["./entrypoint.sh"]
                        
# 2026-09-23 20:53:42  1.21GB 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
                        
# 2026-07-09 02:19:47  1.45KB 复制新文件或目录到容器中
COPY --chmod=775 cuda-entrypoint.sh entrypoint.sh # buildkit
                        
# 2026-03-13 04:12:32  26.07MB 执行命令并创建新的镜像层
RUN |1 DEFAULT_USE_FLASH_ATTENTION=True /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 04:12:32  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=True LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/cuda/lib64
                        
# 2026-03-13 04:12:32  0.00B 定义构建参数
ARG DEFAULT_USE_FLASH_ATTENTION=True
                        
# 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": "sha256:956b2badf117683ba45369dd6ad88972c5dc96dc6bcd2f6cd92d2052054b9c3a",
    "RepoTags": [
        "ghcr.io/huggingface/text-embeddings-inference:120-latest",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/huggingface/text-embeddings-inference:120-latest"
    ],
    "RepoDigests": [
        "ghcr.io/huggingface/text-embeddings-inference@sha256:1196fc3172349f58183fd2de5c8f4f534d24ab5af2de3316bd255f99129d36ae",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/huggingface/text-embeddings-inference@sha256:8896a3ba2cb4a2dfafbabeb76db8c3ba4933a523cfbd2f3867ead547e427c189"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2026-09-23T12:53:42.665925894Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
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更多版本

ghcr.io/huggingface/text-embeddings-inference:1.6

linux/amd64 ghcr.io1.21GB2025-02-25 09:27