Image Classification with Hugging Face Transformers and `Keras`
January 04, 2022 · 10 min read
Learn how to fine-tune a Vision Transformer for Image Classification Example using vanilla `Keras`, `Transformers`, `Datasets`.
Workshop: Enterprise-Scale NLP with Hugging Face & Amazon SageMaker
December 29, 2021 · 4 min read
In October and November, we held a workshop series on “Enterprise-Scale NLP with Hugging Face & Amazon SageMaker”. This workshop series consisted out of 3 parts and covers: Getting Started, Going Production & MLOps
Hugging Face Transformers with Keras: Fine-tune a non-English BERT for Named Entity Recognition
December 21, 2021 · 10 min read
Learn how to fine-tune a non-English BERT using Hugging Face Transformers and Keras/TF, Transformers, datasets.
New Serverless Transformers using Amazon SageMaker Serverless Inference and Hugging Face
December 15, 2021 · 9 min read
Learn how to deploy Hugging Face Transformers serverless using the new Amazon SageMaker Serverless Inference.
Hugging Face Transformers BERT fine-tuning using Amazon SageMaker and Training Compiler
December 07, 2021 · 7 min read
Learn how to Compile and fine-tune a Multi-Class Classification Transformers with `Trainer` and `emotion` dataset using Amazon SageMaker Training Compiler.
MLOps: Using the Hugging Face Hub as model registry with Amazon SageMaker
November 16, 2021 · 8 min read
Learn how to automatically save your model weights, logs, and artifacts to the Hugging Face Hub using Amazon SageMaker and how to deploy the model afterwards for inference.
A remote guide to re:Invent 2021 machine learning sessions
November 11, 2021 · 6 min read
If you are like me you are not from the USA and cannot easily travel to Las Vegas. I have the perfect remote guide for your perfect virtual re:Invent 2021 focused on NLP and Machine Learning.
MLOps: End-to-End Hugging Face Transformers with the Hub & SageMaker Pipelines
November 10, 2021 · 9 min read
Learn how to build an End-to-End MLOps Pipeline for Hugging Face Transformers from training to production using Amazon SageMaker.