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codait/max-text-sentiment-classifier:v2.0.0

Manifest digest

sha256:f976728f4b5cdef85a262db13c0a60544627ca70099e327aa56581e560dd5f93

OS/ARCH

linux/amd64

Compressed size

786.04 MB

Last pushed

almost 7 years by codait

Type

Image

Manifest digest

sha256:f976728f4b5cdef85a262db13c0a60544627ca70099e327aa56581e560dd5f93

Image Layers

Image Layers

1ADD file ... in / 43.22 MB
2CMD ["bash"]0 B
3ENV LANG=C.UTF-8 LC_ALL=C.UTF-80 B
4ENV PATH=/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin0 B
5/bin/sh -c apt-get update --fix-missing40.08 MB
6/bin/sh -c wget --quiet https://repo.continuum.io/miniconda/Miniconda3-4.5.4-Linux-x86_64.sh82.31 MB
7ENV TINI_VERSION=v0.16.10 B
8ADD fcc011174ff1c034ee60c6e5ee61d7e2ead72f93e352279c623be55431ff9b4a in /usr/bin/tini 8.25 KB
9/bin/sh -c chmod +x /usr/bin/tini8.25 KB
10ENTRYPOINT ["/usr/bin/tini" "--"]0 B
11CMD ["/bin/bash"]0 B
12WORKDIR /workspace98 B
13/bin/sh -c mkdir assets118 B
14COPY dir:1c383a5f2ec6ee6d70a1a9901abd6897585c8b68a08e6b4bb63cb5b331f4a26f in . 4.81 KB
15/bin/sh -c pip install --upgrade14.06 MB
16ARG model_bucket=https://s3.us-south.cloud-object-storage.appdomain.cloud/max-assets-prod/max-text-sentiment-classifier/1.2.00 B
17ARG model_file=assets.tar.gz0 B
18WORKDIR /workspace0 B
19ARG use_pre_trained_model=true0 B
20|3 model_bucket=https://s3.us-south.cloud-object-storage.appdomain.cloud/max-assets-prod/max-text-sentiment-classifier/1.2.0 model_file=assets.tar.gz use_pre_trained_model=true /bin/sh386.48 MB
21COPY file:7fd605544ce3d3a9548f66a3facb3261af39fe0d4e861e711496065920be2ed6 in /workspace 226 B
22|3 model_bucket=https://s3.us-south.cloud-object-storage.appdomain.cloud/max-assets-prod/max-text-sentiment-classifier/1.2.0 model_file=assets.tar.gz use_pre_trained_model=true /bin/sh219.85 MB
23COPY dir:c830c4178a442479e500af5ae9cc3b76d540ef4c2f8a91d706940971de631861 in /workspace 22.55 KB
24|3 model_bucket=https://s3.us-south.cloud-object-storage.appdomain.cloud/max-assets-prod/max-text-sentiment-classifier/1.2.0 model_file=assets.tar.gz use_pre_trained_model=true /bin/sh0 B
25EXPOSE 50000 B
26CMD ["/bin/sh" "-c" "python0 B

Command

ADD file:9572fdb59dfbb9b032f3331bbc2a08b31e0aef5fbde44c8f2008d22bf5290cf2 in /