--- title: "MLOps: End-to-End Hugging Face Transformers with the Hub & SageMaker Pipelines" url: https://daily.dev/posts/mlops-end-to-end-hugging-face-transformers-with-the-hub-sagemaker-pipelines-krht6xpa0 source_url: https://www.philschmid.de/mlops-sagemaker-huggingface-transformers type: article source: "Philipp Schmid" published: 2026-05-31T07:41:05.719Z updated: 2026-05-31T08:24:29.248Z tags: ["machine-learning", "aws", "transformers", "mlops"] reading_time: 5 upvotes: 0 comments: 0 language: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # MLOps: End-to-End Hugging Face Transformers with the Hub & SageMaker Pipelines **[Philipp Schmid](https://daily.dev/sources/philschmid)** · 5 min read · 0 upvotes · 0 comments ## Summary A step-by-step guide to building an end-to-end MLOps pipeline using Amazon SageMaker Pipelines and Hugging Face Transformers. The tutorial covers fine-tuning a DistilBERT model on the IMDB dataset, with pipeline steps including data preprocessing via SKLearn, model training with the Hugging Face Estimator, model evaluation with conditional deployment logic, model registration in the SageMaker Model Registry, and serverless deployment via a Lambda step. The pipeline is fully parameterized, allowing instance types and hyperparameters to be varied without code changes. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Hugging Face Transformers in Action: Learning How To Leverage AI for NLP](https://daily.dev/posts/hugging-face-transformers-in-action-learning-how-to-leverage-ai-for-nlp-pwpvggwvt) · Towards Data Science · 0 upvotes · 0 comments --- Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#aws](https://daily.dev/tags/aws), [#transformers](https://daily.dev/tags/transformers), [#mlops](https://daily.dev/tags/mlops) [View this post on daily.dev](https://daily.dev/posts/mlops-end-to-end-hugging-face-transformers-with-the-hub-sagemaker-pipelines-krht6xpa0)