🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading

Open-source offline translation library written in Python

Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0).

🏡 Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.

💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks. 🛫☑️

Codes and Model of the paper "Text-to-Audio Generation using Instruction Tuned LLM and Latent Diffusion Model"

ACL'2021: LM-BFF: Better Few-shot Fine-tuning of Language Models https://arxiv.org/abs/2012.15723

Running Llama 2 and other Open-Source LLMs on CPU Inference Locally for Document Q&A

PhoBERT: Pre-trained language models for Vietnamese (EMNLP-2020 Findings)

Repository for the ACL2023 paper "Reasoning with Language Model Prompting: A Survey".

Collection of papers and resources on Reasoning in Large Language Models (LLMs), including Chain-of-Thought (CoT), Instruction-Tuning, and others.

Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.

Crosslingual Generalization through Multitask Finetuning

An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.

This repository contains a collection of papers and resources on Reasoning in Large Language Models.

ChatGPT Universe is fleeting notes on ChatGPT, GPT, and large language models (LLMs)

GPT-based ontological extraction tools, including SPIRES

ExtremeBERT is a toolkit that accelerates the pretraining of customized language models on customized datasets, described in the paper “ExtremeBERT: A Toolkit for Accelerating Pretraining of Customized BERT”.

LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and using retrieval QA chains to query the custom data. Projects for using a private LLM for chat with PDF files, cryptocurrency tweets sentiment analysis.