Hugging FaceRunning Embedding Models with sentence-transformers
Create vector embeddings using sentence-transformers, calculate similarity, perform semantic search, and call the model from a Spring Boot application.
Fine-tune Small Models with Hugging Face Trainer
Guide to fine-tuning a small model (DistilBERT) for product review classification using Hugging Face's Trainer API, from data preparation to inference.
Hugging Face Datasets Library: Loading and Processing Data
Guide to using Hugging Face's Datasets library to load, explore, transform, and save datasets for NLP model training.
Hugging Face Hub: Finding and Using Models
Guide to finding the right model on Hugging Face Hub, reading model cards, and calling models from both Python and Spring Boot applications.
Tokenizer in Hugging Face: Principles and How to Use in Java
Learn how Hugging Face Tokenizer works, how to integrate it into a Spring Boot application via DJL, along with concrete encode/decode examples and tests.
Transformers Pipeline: Running NLP Models in a Few Lines of Code
Guide to using Hugging Face Transformers' pipeline() for sentiment analysis, NER, summarization... without needing deep understanding of model architecture.