Chinese version of GPT2 training code, using BERT tokenizer.

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

An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.

RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

GPT2 for Chinese chitchat/用于中文闲聊的GPT2模型(实现了DialoGPT的MMI思想)

Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo

AI Code Completions

Awesome Pretrained Chinese NLP Models，高质量中文预训练模型&大模型&多模态模型&大语言模型集合

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

🦄 State-of-the-Art Conversational AI with Transfer Learning

This Discord chatbot is incredibly versatile. Powered incredibly fast Groq API

An unnecessarily tiny implementation of GPT-2 in NumPy.

Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/

Large-scale pretraining for dialogue

GPT2 for Multiple Languages, including pretrained models. GPT2 多语言支持, 15亿参数中文预训练模型

[NeurIPS 2024 Oral][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation!

A Large-scale Chinese Short-Text Conversation Dataset and Chinese pre-training dialog models

Guide to using pre-trained large language models of source code

Simple Text-Generator with OpenAI gpt-2 Pytorch Implementation