Transformers GitHub Repositories (2026) · Open Source Tools

Learn AI Engineering! Learn it. Build it. Ship it for others.

21 Lessons, Get Started Building with Generative AI

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.

OpenVINO™ is an open source toolkit for optimizing and deploying AI inference

On-device Speech AI for Apple Silicon

State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!

Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop — all through one unified, production-ready inference API.

Apple MLX native implementations of state-of-the-art generative image & video models

Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.

Open source real-time translation app for Android that runs locally

Simple go utility to download HuggingFace Models and Datasets

A machine learning software for extracting information from scholarly documents

Turn any LLM into a Jev-style decision model: typed decisions, real probabilities, no training. (continue updating, welcome any issue and PR request)

Neural Network Compression Framework for enhanced OpenVINO™ inference

A native .NET LLM inference engine and agent runtime for GGUF models. TensorSharp provides a console application, a web-based chatbot interface, iPhone App, and Ollama/OpenAI-compatible HTTP APIs for programmatic access. It supports Windows/MacOS/iOS/Linux with full GPU capability

💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows

A concise but complete full-attention transformer with a set of promising experimental features from various papers

Interactive 3D visualization platform for exploring transformer architectures, tensors, and real-time LLM inference.

💥 Fast State-of-the-Art Tokenizers optimized for Research and Production