openai / gpt-2
Code for the paper "Language Models are Unsupervised Multitask Learners"
β23,207Updated 7 months ago
Alternatives and similar repositories for gpt-2:
Users that are interested in gpt-2 are comparing it to the libraries listed below
- Facebook AI Research Sequence-to-Sequence Toolkit written in Python.β31,193Updated 2 months ago
- π€ Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.β141,820Updated this week
- GPT-3: Language Models are Few-Shot Learnersβ15,750Updated 4 years ago
- Unsupervised text tokenizer for Neural Network-based text generation.β10,725Updated 3 weeks ago
- The simplest, fastest repository for training/finetuning medium-sized GPTs.β40,237Updated 3 months ago
- A library for efficient similarity search and clustering of dense vectors.β33,821Updated this week
- DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.β37,533Updated this week
- π₯ Fast State-of-the-Art Tokenizers optimized for Research and Productionβ9,509Updated this week
- A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) trainingβ21,600Updated 7 months ago
- Tensors and Dynamic neural networks in Python with strong GPU accelerationβ88,081Updated this week
- Ongoing research training transformer models at scaleβ11,837Updated this week
- Dataset of GPT-2 outputs for research in detection, biases, and moreβ1,969Updated last year
- A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Autoβ¦β13,419Updated this week
- Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"β6,302Updated 3 weeks ago
- An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed librariesβ7,134Updated last week
- Trax β Deep Learning with Clear Code and Speedβ8,177Updated last month
- A framework for training and evaluating AI models on a variety of openly available dialogue datasets.β10,516Updated last year
- Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.β14,428Updated last month
- TensorFlow code and pre-trained models for BERTβ38,882Updated 8 months ago
- Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.β29,161Updated this week
- State-of-the-Art Text Embeddingsβ16,265Updated this week
- Code and documentation to train Stanford's Alpaca models, and generate the data.β29,889Updated 8 months ago
- An open-source NLP research library, built on PyTorch.β11,826Updated 2 years ago
- Python package to easily retrain OpenAI's GPT-2 text-generating model on new textsβ3,399Updated 2 years ago
- Low-code framework for building custom LLMs, neural networks, and other AI modelsβ11,388Updated 3 weeks ago
- An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.β8,287Updated 3 years ago
- An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.β38,169Updated 3 weeks ago
- π€ PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.β17,837Updated this week
- LLM inference in C/C++β76,950Updated this week
- QLoRA: Efficient Finetuning of Quantized LLMsβ10,322Updated 9 months ago