Hugging Face Transformers

Transformers is a framework that holds the definitions of state-of-the-art machine learning models for text, computer vision, audio, video, and multimodal tasks, and is used for both inference and training. It gathers model definitions in one place so they are compatible with various training frameworks, inference engines, and related libraries. The Hugging Face Hub hosts over 1 million Transformers checkpoints. The Pipeline, Trainer, and generate features support inference, training, and text generation.

• Pipeline: simple inference classes for many tasks
• Trainer: supports mixed precision, torch.compile, FlashAttention, and distributed training
• generate: fast text generation and streaming for LLMs and VLMs
• Use over 1 million checkpoints on the Hub
• Model definitions compatible with vLLM, SGLang, TGI, llama.cpp, and more
• Three-class structure: configuration, model, and preprocessor

Open source + paid cloud-managed plans

Open-source version can be self-hosted for free, managed cloud services are paid based on usage/seats

Estimate based on AI knowledge - please verify on the official site

• One of 45 AI tools in the MLOps & Training field.
• Connected to 5 other tools — #11 in its field.