transformers

21 Lessons, Get Started Building with Generative AI

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

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

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Learn it. Build it. Ship it for others.

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

CVPR 2026 论文和开源项目合集

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

Machine Learning Engineering Open Book

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.

Ongoing research training transformer models at scale

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

RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.

Easy-to-use and powerful LLM and SLM library with awesome model zoo.

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

A PyTorch-based Speech Toolkit

This repository contains demos I made with the Transformers library by HuggingFace.

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

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

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