Skip to main content

Model Manager

Project description

Machine Learning model manager

Install

To install latest version:

pip install --index-url https://wcp-docker-ci.artifactory.eng.vmware.com/api/pypi/pypi-virtual/simple ccc-model-manager

Use

To use BERTModel:

from model_manager.models.bert_model import BERTModel

Publish new version

  1. Install python build package: pip install build
  2. Make your changes in model_manager package
  3. Test your changes by running make test
  4. Bump version number in ccc-model-manager/pyproject.toml
  5. Bump version number in deploy/images/ccc-pipeline-base/Dockerfile and inference apps that use the library.
  6. Build and Upload to repo by running ./scripts/build_publish.sh

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

ccc_model_manager-1.10.1-py3-none-any.whl (24.1 MB view details)

Uploaded Python 3

File details

Details for the file ccc_model_manager-1.10.1-py3-none-any.whl.

File metadata

File hashes

Hashes for ccc_model_manager-1.10.1-py3-none-any.whl
Algorithm Hash digest
SHA256 90a5d0d9dec66687a7fb88b19bb1615e86afb09de5e873a81e16b638922f0e4c
MD5 cd3dbe8e2db9df5f8821946d627875ba
BLAKE2b-256 efea9a3299b9f016ada84719466011d8d4cadee80264334383697e7ceef7d896

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page