docker.io/semitechnologies/transformers-inference:baai-bge-m3-onnx linux/amd64

docker.io/semitechnologies/transformers-inference:baai-bge-m3-onnx - 国内下载镜像源 浏览次数:10

这个Docker镜像由Semitechnologies提供,用于快速部署Transformer模型的推理服务,支持多种预训练Transformer模型(如BERT、GPT、RoBERTa等),可用于文本分类、问答、文本嵌入生成等常见自然语言处理推理任务,帮助开发者便捷地搭建高性能的Transformer模型推理API。

源镜像 docker.io/semitechnologies/transformers-inference:baai-bge-m3-onnx
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/semitechnologies/transformers-inference:baai-bge-m3-onnx
镜像ID sha256:ec5eef4bf2afd56e37fbea00354adf76a605981154c901bebdc2efdb12ff4e43
镜像TAG baai-bge-m3-onnx
大小 14.48GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD uvicorn app:app --host 0.0.0.0 --port 8080
启动入口 /bin/sh -c
工作目录 /app
OS/平台 linux/amd64
浏览量 10 次
贡献者
镜像创建 2025-11-07T17:19:16.354512559Z
同步时间 2026-03-11 04:04
环境变量
PATH=/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin LANG=C.UTF-8 GPG_KEY=A035C8C19219BA821ECEA86B64E628F8D684696D PYTHON_VERSION=3.11.14 PYTHON_SHA256=8d3ed8ec5c88c1c95f5e558612a725450d2452813ddad5e58fdb1a53b1209b78

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/semitechnologies/transformers-inference:baai-bge-m3-onnx
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/semitechnologies/transformers-inference:baai-bge-m3-onnx  docker.io/semitechnologies/transformers-inference:baai-bge-m3-onnx

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/semitechnologies/transformers-inference:baai-bge-m3-onnx
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/semitechnologies/transformers-inference:baai-bge-m3-onnx  docker.io/semitechnologies/transformers-inference:baai-bge-m3-onnx

Shell快速替换命令

sed -i 's#semitechnologies/transformers-inference:baai-bge-m3-onnx#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/semitechnologies/transformers-inference:baai-bge-m3-onnx#' 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/semitechnologies/transformers-inference:baai-bge-m3-onnx && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/semitechnologies/transformers-inference:baai-bge-m3-onnx  docker.io/semitechnologies/transformers-inference:baai-bge-m3-onnx'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/semitechnologies/transformers-inference:baai-bge-m3-onnx && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/semitechnologies/transformers-inference:baai-bge-m3-onnx  docker.io/semitechnologies/transformers-inference:baai-bge-m3-onnx'

镜像构建历史


# 2025-11-08 01:19:16  0.00B 设置默认要执行的命令
CMD ["uvicorn app:app --host 0.0.0.0 --port 8080"]
                        
# 2025-11-08 01:19:16  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/bin/sh" "-c"]
                        
# 2025-11-08 01:19:16  113.20KB 复制新文件或目录到容器中
COPY . . # buildkit
                        
# 2025-11-08 01:19:16  0.00B 复制新文件或目录到容器中
COPY /app/nltk_data /app/nltk_data # buildkit
                        
# 2025-11-08 01:19:16  2.86GB 复制新文件或目录到容器中
COPY /app/models /app/models # buildkit
                        
# 2025-11-08 01:18:38  0.00B 设置工作目录为/app
WORKDIR /app
                        
# 2025-11-08 01:18:38  11.45GB 执行命令并创建新的镜像层
RUN /bin/sh -c pip3 install -r requirements.txt # buildkit
                        
# 2025-11-08 01:16:56  224.00B 复制新文件或目录到容器中
COPY requirements.txt . # buildkit
                        
# 2025-11-08 01:16:56  28.03MB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install --upgrade pip setuptools # buildkit
                        
# 2025-11-08 01:16:52  21.02MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update # buildkit
                        
# 2025-11-08 01:16:50  0.00B 设置工作目录为/app
WORKDIR /app
                        
# 2025-11-04 12:30:30  0.00B 设置默认要执行的命令
CMD ["python3"]
                        
# 2025-11-04 12:30:30  36.00B 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux; 	for src in idle3 pip3 pydoc3 python3 python3-config; do 		dst="$(echo "$src" | tr -d 3)"; 		[ -s "/usr/local/bin/$src" ]; 		[ ! -e "/usr/local/bin/$dst" ]; 		ln -svT "$src" "/usr/local/bin/$dst"; 	done # buildkit
                        
# 2025-11-04 12:30:30  42.03MB 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux; 		savedAptMark="$(apt-mark showmanual)"; 	apt-get update; 	apt-get install -y --no-install-recommends 		dpkg-dev 		gcc 		gnupg 		libbluetooth-dev 		libbz2-dev 		libc6-dev 		libdb-dev 		libffi-dev 		libgdbm-dev 		liblzma-dev 		libncursesw5-dev 		libreadline-dev 		libsqlite3-dev 		libssl-dev 		make 		tk-dev 		uuid-dev 		wget 		xz-utils 		zlib1g-dev 	; 		wget -O python.tar.xz "https://www.python.org/ftp/python/${PYTHON_VERSION%%[a-z]*}/Python-$PYTHON_VERSION.tar.xz"; 	echo "$PYTHON_SHA256 *python.tar.xz" | sha256sum -c -; 	wget -O python.tar.xz.asc "https://www.python.org/ftp/python/${PYTHON_VERSION%%[a-z]*}/Python-$PYTHON_VERSION.tar.xz.asc"; 	GNUPGHOME="$(mktemp -d)"; export GNUPGHOME; 	gpg --batch --keyserver hkps://keys.openpgp.org --recv-keys "$GPG_KEY"; 	gpg --batch --verify python.tar.xz.asc python.tar.xz; 	gpgconf --kill all; 	rm -rf "$GNUPGHOME" python.tar.xz.asc; 	mkdir -p /usr/src/python; 	tar --extract --directory /usr/src/python --strip-components=1 --file python.tar.xz; 	rm python.tar.xz; 		cd /usr/src/python; 	gnuArch="$(dpkg-architecture --query DEB_BUILD_GNU_TYPE)"; 	./configure 		--build="$gnuArch" 		--enable-loadable-sqlite-extensions 		--enable-optimizations 		--enable-option-checking=fatal 		--enable-shared 		$(test "${gnuArch%%-*}" != 'riscv64' && echo '--with-lto') 		--with-ensurepip 	; 	nproc="$(nproc)"; 	EXTRA_CFLAGS="$(dpkg-buildflags --get CFLAGS)"; 	LDFLAGS="$(dpkg-buildflags --get LDFLAGS)"; 	LDFLAGS="${LDFLAGS:--Wl},--strip-all"; 	make -j "$nproc" 		"EXTRA_CFLAGS=${EXTRA_CFLAGS:-}" 		"LDFLAGS=${LDFLAGS:-}" 	; 	rm python; 	make -j "$nproc" 		"EXTRA_CFLAGS=${EXTRA_CFLAGS:-}" 		"LDFLAGS=${LDFLAGS:--Wl},-rpath='\$\$ORIGIN/../lib'" 		python 	; 	make install; 		cd /; 	rm -rf /usr/src/python; 		find /usr/local -depth 		\( 			\( -type d -a \( -name test -o -name tests -o -name idle_test \) \) 			-o \( -type f -a \( -name '*.pyc' -o -name '*.pyo' -o -name 'libpython*.a' \) \) 		\) -exec rm -rf '{}' + 	; 		ldconfig; 		apt-mark auto '.*' > /dev/null; 	apt-mark manual $savedAptMark; 	find /usr/local -type f -executable -not \( -name '*tkinter*' \) -exec ldd '{}' ';' 		| awk '/=>/ { so = $(NF-1); if (index(so, "/usr/local/") == 1) { next }; gsub("^/(usr/)?", "", so); printf "*%s\n", so }' 		| sort -u 		| xargs -rt dpkg-query --search 		| awk 'sub(":$", "", $1) { print $1 }' 		| sort -u 		| xargs -r apt-mark manual 	; 	apt-get purge -y --auto-remove -o APT::AutoRemove::RecommendsImportant=false; 	apt-get dist-clean; 		export PYTHONDONTWRITEBYTECODE=1; 	python3 --version; 		pip3 install 		--disable-pip-version-check 		--no-cache-dir 		--no-compile 		'setuptools==79.0.1' 		'wheel<0.46' 	; 	pip3 --version # buildkit
                        
# 2025-11-04 12:23:03  0.00B 设置环境变量 PYTHON_SHA256
ENV PYTHON_SHA256=8d3ed8ec5c88c1c95f5e558612a725450d2452813ddad5e58fdb1a53b1209b78
                        
# 2025-11-04 12:23:03  0.00B 设置环境变量 PYTHON_VERSION
ENV PYTHON_VERSION=3.11.14
                        
# 2025-11-04 12:23:03  0.00B 设置环境变量 GPG_KEY
ENV GPG_KEY=A035C8C19219BA821ECEA86B64E628F8D684696D
                        
# 2025-11-04 12:23:03  3.81MB 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux; 	apt-get update; 	apt-get install -y --no-install-recommends 		ca-certificates 		netbase 		tzdata 	; 	apt-get dist-clean # buildkit
                        
# 2025-11-04 12:23:03  0.00B 设置环境变量 LANG
ENV LANG=C.UTF-8
                        
# 2025-11-04 12:23:03  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2025-11-04 04:44:10  78.62MB 
# debian.sh --arch 'amd64' out/ 'trixie' '@1762202650'
                        
                    

镜像信息

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更多版本

178

docker.io/semitechnologies/transformers-inference:baai-bge-m3-onnx

linux/amd64 docker.io14.48GB2026-03-11 04:04
9