flan-t5

There are 82 repositories under flan-t5 topic.

  • xorbitsai/inference

    Replace OpenAI GPT with another LLM in your app by changing a single line of code. Xinference gives you the freedom to use any LLM you need. With Xinference, you're empowered to run inference with any open-source language models, speech recognition models, and multimodal models, whether in the cloud, on-premises, or even on your laptop.

    Language:Python5.8k421.5k476

  • georgian-io/LLM-Finetuning-Toolkit

    Toolkit for fine-tuning, ablating and unit-testing open-source LLMs.

    Language:Python796165193

  • declare-lab/flan-alpaca

    This repository contains code for extending the Stanford Alpaca synthetic instruction tuning to existing instruction-tuned models such as Flan-T5.

    Language:Python34972137

  • zorazrw/filco

    [Preprint] Learning to Filter Context for Retrieval-Augmented Generaton

    Language:Python1862920

  • vipulraheja/coedit

    Official implementation of the paper "CoEdIT: Text Editing by Task-Specific Instruction Tuning" (EMNLP 2023)

    Language:Shell1115610

  • HamedBabaei/LLMs4OL

    LLMs4OL:‌ Large Language Models for Ontology Learning

    Language:Python964499

  • Reason-Wang/flan-alpaca-lora

    This repository contains the code to train flan t5 with alpaca instructions and low rank adaptation.

    Language:Python47358

  • yyDing1/GNER

    Rethinking Negative Instances for Generative Named Entity Recognition

    Language:Python47283

  • rpidanny/llm-prompt-templates

    Empower your LLM to do more than you ever thought possible with these state-of-the-art prompt templates.

    Language:TypeScript39212

  • VanekPetr/flan-t5-text-classifier

    Fine-tuning of Flan-5T LLM for text classification

    Language:Python34457

  • terjanq/hack-a-prompt

    Tools and our test data developed for the HackAPrompt 2023 competition

    Language:HTML30314

  • replicate/getting-started-nextjs-language

    A template Next.js app for running language models like FLAN-T5 with Replicate's API

    Language:JavaScript271804

  • M-Taghizadeh/flan-t5-base-imdb-text-classification

    In this implementation, using the Flan T5 large language model, we performed the Text Classification task on the IMDB dataset and obtained a very good accuracy of 93%.

    Language:Jupyter Notebook20302

  • dylan-slack/Tablet

    The TABLET benchmark for evaluating instruction learning with LLMs for tabular prediction.

    Language:Python19113

  • batmanscode/Talk2Book

    Use AI to personify books, so that you can talk to them 🙊

    Language:Jupyter Notebook18202

  • mltrev23/google-flan-t5-small

    Training and fine-tuning flan-t5-small model based on provided text

    Language:Python15100

  • Erionis/Flan-T5-Summarization

    In-context learning, Fine-Tuning, RLHF on Flan-T5

    Language:Jupyter Notebook13210

  • sahilichake/Document-Summarization-App-using-LLM

    Document Summarization App using large language model (LLM) and Langchain framework. Used a pre-trained T5 model and its tokenizer from Hugging Face Transformers library. Created a summarization pipeline to generate summary using model.

    Language:Python13101

  • nicolay-r/THOR-ECAC

    The official fork of THoR Chain-of-Thought framework, enhanced and adapted for Emotion Cause Analysis (ECAC-2024)

    Language:Python10530

  • rochitasundar/Generative-AI-with-Large-Language-Models

    This repository contains the lab work for Coursera course on "Generative AI with Large Language Models".

    Language:Jupyter Notebook10103

  • zeyadusf/LLMs-from-Scratch

    Build a Large Language Model (From Scratch) book and Finetuned Models

    Language:Jupyter Notebook9104

  • mltrev23/flan-t5-fine-tune

    Flan-t5 model fine tune LoRA and Langchain

    Language:Python8100

  • arasgungore/Generative-AI-with-LLMs

    My solutions to the lab assignments in the Generative AI with Large Language Models course offered by Amazon Web Services.

    Language:Jupyter Notebook7201

  • CodeName-Detective/Prompt-to-Song-Generation-using-Large-Language-Models

    This project uses LLMs to generate music from text by understanding prompts, creating lyrics, determining genre, and composing melodies. It harnesses LLM capabilities to create songs based on text inputs through a multi-step approach.

    Language:Jupyter Notebook6100

  • Himidiri/MergeX

    Revolutionizing open-world gaming, MergeX harnesses NLP advances to empower players with limitless dialogue interactions with NPCs. By imbuing each character with a unique biography, conversations authentically align with NPC personalities, transcending traditional limitations.

    Language:Jupyter Notebook6103

  • Wazzabeee/Bias-Mitigation-In-LLM

    Research POC on the mitigation of bias in large language models (FLAN-T5 and Bloomz) through fine-tuning.

    Language:Jupyter Notebook6200

  • KRR-Oxford/LLMap-Prelim

    A preliminary investigation for ontology alignment (OM) with large language models (LLMs).

    Language:Python4101

  • the-good-fellas/flan-t5-ptbr

    Tutorial para treino de um modelo baseado Flan-T5 usando Flax no GCP-TPU

    Language:Python4110

  • aolivtous/LLMs-for-DocVQA

    Master's thesis on Large Language Models for Document Visual Question Answering

    Language:Python3101

  • HoangLayor/Finetune-LLMs-for-Sequence-Classification

    Finetune Flan-T5 for email classification

    Language:Jupyter Notebook310

  • purang2/Report-Summarization

    Summarize Long Document with Pretrained sequence-to-sequence LM with long-range attention!

    3200

  • claudiatang-git/english-hawaiian-pidgin-translator

    Finetuned FLAN-T5 to translate English to Hawaiian Pidgin

    Language:Jupyter Notebook210

  • graphcore/flan-t5

    Notebook for Flan-T5 – an alternative to large language models like GPT-3 & GPT-4 for NLP tasks like named entity recognition and text generation.

    Language:Jupyter Notebook220

  • ong-zijian/NLP_Wikipedia_QA

    This is a project done for an assessment. I found it to be interesting and decided to share this. The idea is to create a scraper to scrap the Wikipedia page and generate question and answers

    Language:Jupyter Notebook2200

  • sergio11/llm_finetuning_and_evaluation

    The LLM FineTuning and Evaluation project 🚀 enhances FLAN-T5 models for tasks like summarizing Spanish news articles 🇪🇸📰. It features detailed notebooks 📚 on fine-tuning and evaluating models to optimize performance for specific applications. 🔍✨

    Language:Jupyter Notebook2101

  • owaisahmadlone/SQL-LLM

    Fintetuned Flan-T5 to provide SQL queries given Natural Language Text. Two steps of finetuning: First on general Natural Language to SQL Queries and second on queries related to a single database

    Language:Jupyter Notebook1000