ghcr.io/huggingface/text-embeddings-inference:cuda-1.8.1 linux/amd64

ghcr.io/huggingface/text-embeddings-inference:cuda-1.8.1 - 国内下载镜像源浏览次数:32

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。

源镜像	ghcr.io/huggingface/text-embeddings-inference:cuda-1.8.1
国内镜像	swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/huggingface/text-embeddings-inference:cuda-1.8.1
镜像ID	sha256:4848beaf5394fa78102ca87a301c4ecbe28e63c5ee9e7a576c320d214342482c
镜像TAG	cuda-1.8.1
大小	2.65GB
镜像源	ghcr.io
CMD	--json-output
启动入口	./entrypoint.sh
工作目录
OS/平台	linux/amd64
浏览量	32 次
贡献者	et**w@163.com
镜像创建	2025-09-04T16:08:06.198464919Z
同步时间	2025-09-11 17:54
更新时间	2025-09-15 11:32

环境变量

PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin NVARCH=x86_64 NVIDIA_REQUIRE_CUDA=cuda>=12.2 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471 brand=tesla,driver>=525,driver<526 brand=unknown,driver>=525,driver<526 brand=nvidia,driver>=525,driver<526 brand=nvidiartx,driver>=525,driver<526 brand=geforce,driver>=525,driver<526 brand=geforcertx,driver>=525,driver<526 brand=quadro,driver>=525,driver<526 brand=quadrortx,driver>=525,driver<526 brand=titan,driver>=525,driver<526 brand=titanrtx,driver>=525,driver<526 NV_CUDA_CUDART_VERSION=12.2.53-1 NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-2 CUDA_VERSION=12.2.0 LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility NV_CUDA_LIB_VERSION=12.2.0-1 NV_NVTX_VERSION=12.2.53-1 NV_LIBNPP_VERSION=12.1.1.14-1 NV_LIBNPP_PACKAGE=libnpp-12-2=12.1.1.14-1 NV_LIBCUSPARSE_VERSION=12.1.1.53-1 NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-2 NV_LIBCUBLAS_VERSION=12.2.1.16-1 NV_LIBCUBLAS_PACKAGE=libcublas-12-2=12.2.1.16-1 NVIDIA_PRODUCT_NAME=CUDA HUGGINGFACE_HUB_CACHE=/data PORT=80 USE_FLASH_ATTENTION=True

镜像标签

NVIDIA CORPORATION <cudatools@nvidia.com>: maintainer 2025-09-04T15:24:34.889Z: 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 0adb000957aa8c9a914eba10f375ef4a4241e6dc: 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 cuda-1.8.1: 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资源

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/huggingface/text-embeddings-inference:cuda-1.8.1
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/huggingface/text-embeddings-inference:cuda-1.8.1  ghcr.io/huggingface/text-embeddings-inference:cuda-1.8.1

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/huggingface/text-embeddings-inference:cuda-1.8.1
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/huggingface/text-embeddings-inference:cuda-1.8.1  ghcr.io/huggingface/text-embeddings-inference:cuda-1.8.1

Shell快速替换命令

sed -i 's#ghcr.io/huggingface/text-embeddings-inference:cuda-1.8.1#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/huggingface/text-embeddings-inference:cuda-1.8.1#' 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:cuda-1.8.1 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/huggingface/text-embeddings-inference:cuda-1.8.1  ghcr.io/huggingface/text-embeddings-inference:cuda-1.8.1'

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:cuda-1.8.1 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/huggingface/text-embeddings-inference:cuda-1.8.1  ghcr.io/huggingface/text-embeddings-inference:cuda-1.8.1'

镜像构建历史


# 2025-09-05 00:08:06  0.00B 设置默认要执行的命令
CMD ["--json-output"]
                        
# 2025-09-05 00:08:06  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["./entrypoint.sh"]
                        
# 2025-09-05 00:08:06  545.00B 复制新文件或目录到容器中
COPY --chmod=775 cuda-all-entrypoint.sh entrypoint.sh # buildkit
                        
# 2025-09-05 00:08:06  282.74MB 复制新文件或目录到容器中
COPY /usr/src/target/release/text-embeddings-router-90 /usr/local/bin/text-embeddings-router-90 # buildkit
                        
# 2025-09-05 00:08:06  282.74MB 复制新文件或目录到容器中
COPY /usr/src/target/release/text-embeddings-router-80 /usr/local/bin/text-embeddings-router-80 # buildkit
                        
# 2025-09-05 00:08:06  92.91MB 复制新文件或目录到容器中
COPY /usr/src/target/release/text-embeddings-router-75 /usr/local/bin/text-embeddings-router-75 # buildkit
                        
# 2025-01-29 20:11:09  22.80MB 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     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-01-29 20:11:09  0.00B 设置环境变量 HUGGINGFACE_HUB_CACHE PORT USE_FLASH_ATTENTION
ENV HUGGINGFACE_HUB_CACHE=/data PORT=80 USE_FLASH_ATTENTION=True
                        
# 2025-01-29 20:11:09  0.00B 定义构建参数
ARG DEFAULT_USE_FLASH_ATTENTION=True
                        
# 2023-11-10 13:02:13  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2023-11-10 13:02:13  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2023-11-10 13:02:13  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2023-11-10 13:02:13  3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2023-11-10 13:02:13  260.01KB 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} # buildkit
                        
# 2023-11-10 13:02:13  1.73GB 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-12-2=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-12-2=${NV_NVTX_VERSION}     libcusparse-12-2=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 13:02:13  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 13:02:13  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 13:02:13  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-2=12.2.1.16-1
                        
# 2023-11-10 13:02:13  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.2.1.16-1
                        
# 2023-11-10 13:02:13  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-2
                        
# 2023-11-10 13:02:13  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.1.1.53-1
                        
# 2023-11-10 13:02:13  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-2=12.1.1.14-1
                        
# 2023-11-10 13:02:13  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.1.1.14-1
                        
# 2023-11-10 13:02:13  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.2.53-1
                        
# 2023-11-10 13:02:13  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.2.0-1
                        
# 2023-11-10 12:56:33  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2023-11-10 12:56:33  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2023-11-10 12:56:33  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2023-11-10 12:56:33  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2023-11-10 12:56:33  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2023-11-10 12:56:33  46.00B 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf     && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
                        
# 2023-11-10 12:56:33  150.50MB 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-12-2=${NV_CUDA_CUDART_VERSION}     ${NV_CUDA_COMPAT_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 12:56:21  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.2.0
                        
# 2023-11-10 12:56:21  10.56MB 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 -fsSLO https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/${NVARCH}/cuda-keyring_1.0-1_all.deb &&     dpkg -i cuda-keyring_1.0-1_all.deb &&     apt-get purge --autoremove -y curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 12:56:21  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 12:56:21  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 12:56:21  0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-2
                        
# 2023-11-10 12:56:21  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.2.53-1
                        
# 2023-11-10 12:56:21  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
ENV NVIDIA_REQUIRE_CUDA=cuda>=12.2 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471 brand=tesla,driver>=525,driver<526 brand=unknown,driver>=525,driver<526 brand=nvidia,driver>=525,driver<526 brand=nvidiartx,driver>=525,driver<526 brand=geforce,driver>=525,driver<526 brand=geforcertx,driver>=525,driver<526 brand=quadro,driver>=525,driver<526 brand=quadrortx,driver>=525,driver<526 brand=titan,driver>=525,driver<526 brand=titanrtx,driver>=525,driver<526
                        
# 2023-11-10 12:56:21  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2023-10-05 15:33:32  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2023-10-05 15:33:32  77.82MB 
/bin/sh -c #(nop) ADD file:63d5ab3ef0aab308c0e71cb67292c5467f60deafa9b0418cbb220affcd078444 in / 
                        
# 2023-10-05 15:33:30  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2023-10-05 15:33:30  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2023-10-05 15:33:30  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2023-10-05 15:33:30  0.00B 
/bin/sh -c #(nop)  ARG RELEASE

镜像信息

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    "Id": "sha256:4848beaf5394fa78102ca87a301c4ecbe28e63c5ee9e7a576c320d214342482c",
    "RepoTags": [
        "ghcr.io/huggingface/text-embeddings-inference:cuda-1.8.1",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/huggingface/text-embeddings-inference:cuda-1.8.1"
    ],
    "RepoDigests": [
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        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/huggingface/text-embeddings-inference@sha256:3faf49c53bf05e37e6ddc1d4464069d48a570f842b434db5714de3e9d0e20a40"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-09-04T16:08:06.198464919Z",
    "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/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
            "NVARCH=x86_64",
            "NVIDIA_REQUIRE_CUDA=cuda\u003e=12.2 brand=tesla,driver\u003e=470,driver\u003c471 brand=unknown,driver\u003e=470,driver\u003c471 brand=nvidia,driver\u003e=470,driver\u003c471 brand=nvidiartx,driver\u003e=470,driver\u003c471 brand=geforce,driver\u003e=470,driver\u003c471 brand=geforcertx,driver\u003e=470,driver\u003c471 brand=quadro,driver\u003e=470,driver\u003c471 brand=quadrortx,driver\u003e=470,driver\u003c471 brand=titan,driver\u003e=470,driver\u003c471 brand=titanrtx,driver\u003e=470,driver\u003c471 brand=tesla,driver\u003e=525,driver\u003c526 brand=unknown,driver\u003e=525,driver\u003c526 brand=nvidia,driver\u003e=525,driver\u003c526 brand=nvidiartx,driver\u003e=525,driver\u003c526 brand=geforce,driver\u003e=525,driver\u003c526 brand=geforcertx,driver\u003e=525,driver\u003c526 brand=quadro,driver\u003e=525,driver\u003c526 brand=quadrortx,driver\u003e=525,driver\u003c526 brand=titan,driver\u003e=525,driver\u003c526 brand=titanrtx,driver\u003e=525,driver\u003c526",
            "NV_CUDA_CUDART_VERSION=12.2.53-1",
            "NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-2",
            "CUDA_VERSION=12.2.0",
            "LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "NV_CUDA_LIB_VERSION=12.2.0-1",
            "NV_NVTX_VERSION=12.2.53-1",
            "NV_LIBNPP_VERSION=12.1.1.14-1",
            "NV_LIBNPP_PACKAGE=libnpp-12-2=12.1.1.14-1",
            "NV_LIBCUSPARSE_VERSION=12.1.1.53-1",
            "NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-2",
            "NV_LIBCUBLAS_VERSION=12.2.1.16-1",
            "NV_LIBCUBLAS_PACKAGE=libcublas-12-2=12.2.1.16-1",
            "NVIDIA_PRODUCT_NAME=CUDA",
            "HUGGINGFACE_HUB_CACHE=/data",
            "PORT=80",
            "USE_FLASH_ATTENTION=True"
        ],
        "Cmd": [
            "--json-output"
        ],
        "ArgsEscaped": true,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "",
        "Entrypoint": [
            "./entrypoint.sh"
        ],
        "OnBuild": null,
        "Labels": {
            "maintainer": "NVIDIA CORPORATION \u003ccudatools@nvidia.com\u003e",
            "org.opencontainers.image.created": "2025-09-04T15:24:34.889Z",
            "org.opencontainers.image.description": "A blazing fast inference solution for text embeddings models",
            "org.opencontainers.image.licenses": "Apache-2.0",
            "org.opencontainers.image.ref.name": "ubuntu",
            "org.opencontainers.image.revision": "0adb000957aa8c9a914eba10f375ef4a4241e6dc",
            "org.opencontainers.image.source": "https://github.com/huggingface/text-embeddings-inference",
            "org.opencontainers.image.title": "text-embeddings-inference",
            "org.opencontainers.image.url": "https://github.com/huggingface/text-embeddings-inference",
            "org.opencontainers.image.version": "cuda-1.8.1"
        }
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 2646585970,
    "GraphDriver": {
        "Data": {
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}

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