History

Connor McCarthy 973610b918 chore(components): add `json_escape` placeholder util PiperOrigin-RevId: 595174285		2024-01-02 11:54:02 -08:00
..
docs	chore(components): release GCPC 2.8.0	2023-12-13 17:12:52 -08:00
google_cloud_pipeline_components	chore(components): add `json_escape` placeholder util	2024-01-02 11:54:02 -08:00
Dockerfile	chore(components): release GCPC 2.8.0	2023-12-13 17:12:52 -08:00
LICENSE	test(components): INTERNAL	2023-12-14 15:54:17 -08:00
README.md	docs(components): point GCPC README at v2 reference documentation	2023-07-17 12:19:21 -07:00
RELEASE.md	fix(components): Upload the tuned adapter to Model Registry instead of model checkpoint from `preview.llm.rlhf_pipeline`	2023-12-15 16:47:51 -08:00
cloudbuild.yaml	chore(components): Add public-image-gcpc-v2-scan tag for latest gcpc image	2023-09-12 16:08:03 -07:00
setup.py	chore(components): bump latest supported KFP SDK version	2023-10-30 14:58:03 -07:00

README.md

Google Cloud Pipeline Components

Google Cloud Pipeline Components (GCPC) provides predefined KFP components that can be run on Google Cloud Vertex AI Pipelines and other KFP-conformant pipeline execution backends. You can compose the components together into pipelines using the Kubeflow Pipelines SDK.

Documentation

User documentation

Please see the Google Cloud Pipeline Components user guide.

API documentation

Please see the Google Cloud Pipeline Components API reference documentation.

Release details

For details about previous and upcoming releases, please see the release notes.

Examples

Installation

Requirements

Python >= 3.7
A Google Cloud project with the Vertex API enabled.
An authenticated GCP account

Install latest release

Use the following command to install Google Cloud Pipeline Components from PyPI.

pip install -U google-cloud-pipeline-components