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End-to-End Pipeline for Segmentation with TFX, Google Cloud, and Hugging Face
The TensorFlow Blog blog.tensorflow.org
Posted by Chansung Park, Sayak Paul (ML and Cloud GDEs)
TensorFlow Extended (TFX) is a flexible framework allowing Machine Learning (ML) practitioners to iterate on production-grade ML workflows faster with reliability and resiliency. TFX’s power lies in its flexibility to run ML pipelines across different compatible orchestrators such as Kubeflow, Apache Airflow, Vertex AI Pipelines, etc., both locally and on the cloud.
In this blog post, we discuss the crucial details of building an end-to-end ML pipeline for …
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