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https://github.com/modelscope/modelscope.git
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8e51a073a6
* add self-hosted repo: * add extra requirements for different field and reduce necessary requirements * update docker file with so required by audio * add requirements checker which will be used later when implement lazy import * remove repeated requirements and replace opencv-python-headless with opencv-python example usage: ```shell pip install model_scope[all] -f https://pai-vision-data-hz.oss-cn-zhangjiakou.aliyuncs.com/release/maas/repo.html pip install model_scope[cv] -f https://pai-vision-data-hz.oss-cn-zhangjiakou.aliyuncs.com/release/maas/repo.html pip install model_scope[nlp] -f https://pai-vision-data-hz.oss-cn-zhangjiakou.aliyuncs.com/release/maas/repo.html pip install model_scope[audio] -f https://pai-vision-data-hz.oss-cn-zhangjiakou.aliyuncs.com/release/maas/repo.html pip install model_scope[multi-modal] -f https://pai-vision-data-hz.oss-cn-zhangjiakou.aliyuncs.com/release/maas/repo.html ``` Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9211383
8 lines
699 B
Bash
8 lines
699 B
Bash
#sudo docker run --name zwm_maas -v /home/wenmeng.zwm/workspace:/home/wenmeng.zwm/workspace --net host -ti reg.docker.alibaba-inc.com/pai-dlc/tensorflow-training:2.3-gpu-py36-cu101-ubuntu18.04 bash
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#sudo docker run --name zwm_maas_pytorch -v /home/wenmeng.zwm/workspace:/home/wenmeng.zwm/workspace --net host -ti reg.docker.alibaba-inc.com/pai-dlc/pytorch-training:1.10PAI-gpu-py36-cu113-ubuntu18.04 bash
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CONTAINER_NAME=modelscope-dev
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IMAGE_NAME=registry.cn-shanghai.aliyuncs.com/modelscope/modelscope
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IMAGE_VERSION=v0.1.1-16-g62856fa-devel
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MOUNT_DIR=/home/wenmeng.zwm/workspace
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sudo docker run --name $CONTAINER_NAME -v $MOUNT_DIR:$MOUNT_DIR --net host -ti ${IMAGE_NAME}:${IMAGE_VERSION} bash
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