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ghcr.io/etalab-ia/whisperx-openai-api:latest
linux/amd64 ghcr.io

ghcr.io/etalab-ia/whisperx-openai-api是一个提供基于WhisperX的OpenAI API兼容接口的Docker镜像，支持语音转文字功能，允许用户通过符合OpenAI API规范的调用方式使用WhisperX的增强转录能力，包括可能的实时处理、多语言支持、说话人识别与对齐等特性。

15
浏览次数
14.56GB
镜像大小
国内镜像
swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/etalab-ia/whisperx-openai-api:latest
源镜像
ghcr.io/etalab-ia/whisperx-openai-api:latest
镜像ID
sha256:8004a141ff8bae08bb04c42c6cd04f64fdb779f7325e3117c41d2c3f73a38af8
镜像 TAG
latest
镜像大小
14.56GB
平台架构
linux/amd64
镜像源
ghcr.io
CMD
启动入口
sh -c gunicorn main:app --workers ${WORKERS:-1} --worker-class uvicorn.workers.UvicornWorker --timeout 120 --bind 0.0.0.0:${PORT:-8000}
工作目录
/app
OS/平台
linux/amd64
镜像创建
2026-05-07T12:29:41.66526333Z
同步时间
2026-07-16 02:42
浏览量
15 次
贡献者
⚙️ 环境变量 30
KeyValue
PATH=/usr/local/nvidia/bin:/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>=12.8 brand=unknown,driver>=470,driver<471 brand=grid,driver>=470,driver<471 brand=tesla,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=vapps,driver>=470,driver<471 brand=vpc,driver>=470,driver<471 brand=vcs,driver>=470,driver<471 brand=vws,driver>=470,driver<471 brand=cloudgaming,driver>=470,driver<471 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 2
NV_CUDA_CUDART_VERSION=12.8.57-1 3
CUDA_VERSION=12.8.0 4
LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 5
NVIDIA_VISIBLE_DEVICES=all 6
NVIDIA_DRIVER_CAPABILITIES=compute,utility 7
NV_CUDA_LIB_VERSION=12.8.0-1 8
NV_NVTX_VERSION=12.8.55-1 9
NV_LIBNPP_VERSION=12.3.3.65-1 10
NV_LIBNPP_PACKAGE=libnpp-12-8=12.3.3.65-1 11
NV_LIBCUSPARSE_VERSION=12.5.7.53-1 12
NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-8 13
NV_LIBCUBLAS_VERSION=12.8.3.14-1 14
NV_LIBCUBLAS_PACKAGE=libcublas-12-8=12.8.3.14-1 15
NV_LIBNCCL_PACKAGE_NAME=libnccl2 16
NV_LIBNCCL_PACKAGE_VERSION=2.25.1-1 17
NCCL_VERSION=2.25.1-1 18
NV_LIBNCCL_PACKAGE=libnccl2=2.25.1-1+cuda12.8 19
NVIDIA_PRODUCT_NAME=CUDA 20
NV_CUDNN_VERSION=9.7.0.66-1 21
NV_CUDNN_PACKAGE_NAME=libcudnn9-cuda-12 22
NV_CUDNN_PACKAGE=libcudnn9-cuda-12=9.7.0.66-1 23
PYTHONUNBUFFERED=1 24
DEBIAN_FRONTEND=noninteractive 25
TZ=Etc/UTC 26
HF_HOME=/data/models 27
TRANSFORMERS_CACHE=/data/models 28
TORCH_FORCE_NO_WEIGHTS_ONLY_LOAD=1 29
🏷️ 镜像标签 4
KeyValue
9.7.0.66-1 com.nvidia.cudnn.version
NVIDIA CORPORATION <cudatools@nvidia.com> maintainer
ubuntu org.opencontainers.image.ref.name
22.04 org.opencontainers.image.version
🛡️ 镜像安全扫描
ubuntu 22.04 Trivy 2026-07-16 02:44 查看完整报告
73
低危 LOW
524
中危 MEDIUM
17
高危 HIGH
0
严重 CRITICAL
受影响目标 (2)
ghcr.io/etalab-ia/whisperx-openai-api:latest (ubuntu 22.04) ubuntu Python python-pkg
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/etalab-ia/whisperx-openai-api:latest
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/etalab-ia/whisperx-openai-api:latest  ghcr.io/etalab-ia/whisperx-openai-api:latest

Containerd拉取命令 

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/etalab-ia/whisperx-openai-api:latest
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/etalab-ia/whisperx-openai-api:latest  ghcr.io/etalab-ia/whisperx-openai-api:latest

Shell快速替换命令 

sed -i 's#ghcr.io/etalab-ia/whisperx-openai-api:latest#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/etalab-ia/whisperx-openai-api: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/etalab-ia/whisperx-openai-api:latest && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/etalab-ia/whisperx-openai-api:latest  ghcr.io/etalab-ia/whisperx-openai-api: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/etalab-ia/whisperx-openai-api:latest && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/etalab-ia/whisperx-openai-api:latest  ghcr.io/etalab-ia/whisperx-openai-api:latest'

镜像构建历史 


# 2026-05-07 20:29:41  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["sh" "-c" "gunicorn main:app --workers ${WORKERS:-1} --worker-class uvicorn.workers.UvicornWorker --timeout 120 --bind 0.0.0.0:${PORT:-8000}"]
                        
# 2026-05-07 20:29:41  0.00B 指定运行容器时使用的用户
USER whisperuser
                        
# 2026-05-07 20:29:41  900.00B 复制新文件或目录到容器中
COPY --chown=whisperuser:whisperuser ./logging-config.yaml /app/logging-config.yaml # buildkit
                        
# 2026-05-07 20:29:41  160.81KB 复制新文件或目录到容器中
COPY --chown=whisperuser:whisperuser ./app /app # buildkit
                        
# 2026-05-07 20:29:41  0.00B 设置工作目录为/app
WORKDIR /app
                        
# 2026-05-07 20:29:41  0.00B 执行命令并创建新的镜像层
RUN |3 DOCKER_USER=1000 HF_HOME=/data/models TORCH_FORCE_NO_WEIGHTS_ONLY_LOAD=1 /bin/sh -c mkdir -p ${HF_HOME} &&     mkdir -p /home/whisperuser &&     chown -R whisperuser:whisperuser ${HF_HOME} &&     chown -R whisperuser:whisperuser /home/whisperuser &&     chmod -R 755 ${HF_HOME} &&     chmod -R 755 /home/whisperuser # buildkit
                        
# 2026-05-07 20:29:41  0.00B 设置环境变量 TORCH_FORCE_NO_WEIGHTS_ONLY_LOAD
ENV TORCH_FORCE_NO_WEIGHTS_ONLY_LOAD=1
                        
# 2026-05-07 20:29:41  0.00B 定义构建参数
ARG TORCH_FORCE_NO_WEIGHTS_ONLY_LOAD=1
                        
# 2026-05-07 20:29:41  0.00B 设置环境变量 TRANSFORMERS_CACHE
ENV TRANSFORMERS_CACHE=/data/models
                        
# 2026-05-07 20:29:41  0.00B 设置环境变量 HF_HOME
ENV HF_HOME=/data/models
                        
# 2026-05-07 20:29:41  0.00B 定义构建参数
ARG HF_HOME=/data/models
                        
# 2026-05-07 20:29:41  327.65KB 执行命令并创建新的镜像层
RUN |1 DOCKER_USER=1000 /bin/sh -c groupadd -r whisperuser &&     useradd -r -g whisperuser -u ${DOCKER_USER} whisperuser # buildkit
                        
# 2026-05-07 20:29:41  0.00B 定义构建参数
ARG DOCKER_USER=1000
                        
# 2026-05-07 20:29:41  522.03MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update &&     apt-get install -y     ffmpeg     python3.11 &&     rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-05-07 20:29:21  7.59GB 复制新文件或目录到容器中
COPY /usr/local /usr/local # buildkit
                        
# 2026-05-07 20:27:27  1.92GB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update &&     apt-get -y upgrade &&     rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-05-07 20:27:27  0.00B 设置环境变量 PYTHONUNBUFFERED DEBIAN_FRONTEND TZ
ENV PYTHONUNBUFFERED=1 DEBIAN_FRONTEND=noninteractive TZ=Etc/UTC
                        
# 2025-01-27 07:08:22  1.10GB 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     ${NV_CUDNN_PACKAGE}     && apt-mark hold ${NV_CUDNN_PACKAGE_NAME}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-01-27 07:08:22  0.00B 添加元数据标签
LABEL com.nvidia.cudnn.version=9.7.0.66-1
                        
# 2025-01-27 07:08:22  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2025-01-27 07:08:22  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2025-01-27 07:08:22  0.00B 设置环境变量 NV_CUDNN_PACKAGE
ENV NV_CUDNN_PACKAGE=libcudnn9-cuda-12=9.7.0.66-1
                        
# 2025-01-27 07:08:22  0.00B 设置环境变量 NV_CUDNN_PACKAGE_NAME
ENV NV_CUDNN_PACKAGE_NAME=libcudnn9-cuda-12
                        
# 2025-01-27 07:08:22  0.00B 设置环境变量 NV_CUDNN_VERSION
ENV NV_CUDNN_VERSION=9.7.0.66-1
                        
# 2025-01-27 07:06:37  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2025-01-27 07:06:37  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2025-01-27 07:06:37  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2025-01-27 07:06:37  3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2025-01-27 07:06:37  263.00KB 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
                        
# 2025-01-27 07:06:37  3.13GB 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-12-8=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-12-8=${NV_NVTX_VERSION}     libcusparse-12-8=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-01-27 07:06:37  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2025-01-27 07:06:37  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2025-01-27 07:06:37  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.25.1-1+cuda12.8
                        
# 2025-01-27 07:06:37  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.25.1-1
                        
# 2025-01-27 07:06:37  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.25.1-1
                        
# 2025-01-27 07:06:37  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2025-01-27 07:06:37  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-8=12.8.3.14-1
                        
# 2025-01-27 07:06:37  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.8.3.14-1
                        
# 2025-01-27 07:06:37  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-8
                        
# 2025-01-27 07:06:37  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.5.7.53-1
                        
# 2025-01-27 07:06:37  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-8=12.3.3.65-1
                        
# 2025-01-27 07:06:37  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.3.3.65-1
                        
# 2025-01-27 07:06:37  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.8.55-1
                        
# 2025-01-27 07:06:37  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.8.0-1
                        
# 2025-01-27 07:06:37  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2025-01-27 07:06:37  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2025-01-27 07:06:37  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2025-01-27 07:06:37  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2025-01-27 07:06:37  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
                        
# 2025-01-27 07:06:37  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
                        
# 2025-01-27 07:06:37  203.16MB 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-12-8=${NV_CUDA_CUDART_VERSION}     cuda-compat-12-8     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-01-27 07:06:37  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.8.0
                        
# 2025-01-27 07:06:37  10.60MB 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_1.1-1_all.deb &&     dpkg -i cuda-keyring_1.1-1_all.deb &&     apt-get purge --autoremove -y curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-01-27 07:06:37  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2025-01-27 07:06:37  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2025-01-27 07:06:37  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.8.57-1
                        
# 2025-01-27 07:06:37  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>=12.8 brand=unknown,driver>=470,driver<471 brand=grid,driver>=470,driver<471 brand=tesla,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=vapps,driver>=470,driver<471 brand=vpc,driver>=470,driver<471 brand=vcs,driver>=470,driver<471 brand=vws,driver>=470,driver<471 brand=cloudgaming,driver>=470,driver<471 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
                        
# 2025-01-27 07:06:37  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2024-09-12 00:25:18  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2024-09-12 00:25:17  77.86MB 
/bin/sh -c #(nop) ADD file:ebe009f86035c175ba244badd298a2582914415cf62783d510eab3a311a5d4e1 in / 
                        
# 2024-09-12 00:25:16  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2024-09-12 00:25:16  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2024-09-12 00:25:16  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2024-09-12 00:25:16  0.00B 
/bin/sh -c #(nop)  ARG RELEASE

镜像信息 

{
    "Id": "sha256:8004a141ff8bae08bb04c42c6cd04f64fdb779f7325e3117c41d2c3f73a38af8",
    "RepoTags": [
        "ghcr.io/etalab-ia/whisperx-openai-api:latest",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/etalab-ia/whisperx-openai-api:latest"
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更多版本

ghcr.io/etalab-ia/whisperx-openai-api:latest

linux/amd64 ghcr.io14.56GB2026-07-16 02:42
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