This website utilizes the Hugging Face API to generate image descriptions based on user-provided text input. The application is built with HTML, CSS, and JavaScript, and it leverages the facebook/bart-large-cnn model for generating textual summaries.

A domain specific chatbot powered by Hugging Face and Python.

applied advanced machine learning techniques to predict the popularity of TED Talk

Efficient Text Summarization: Generating Concise Highlights

TEXT SUMMARIZATION USING -> BART-T5-PROPHETNET-PEGASUS on indic_dataset

The project adopts a modular approach to achieve multilingual text summarization. It starts with user-provided input, supporting multiple languages such as English, Hindi, and Bengali. Language detection helps identify the input language for further processing. We utilize pre-trained transformer models, such as BART and T5, for text summarization.

Dialogue Summarization application hosted using AWS and CICD deployment with docker and FASTAPI. Model card created in HuggingFace and a deployed on HuggingFace Spaces.

an machine earning based text summerizer hosted on web

Text Summarizer Application using Django

A Desktop Application Made using PyQt5 GUI Toolkit.

Exploring the 2021 AAPI movement using Twitter and news data.

This repository contains code to do text summarization and end-to-end deployment cycle

NLP with Transformers and HuggingFace

NLP Mini project

Summarify - Text Summarization App Summarify is an Android application designed to provide text summarization functionality. It allows users to input text and receive a concise summary of the content.

Document Summarizer using GPT-2 Transformer explore summarization using the transformer model with the implementation of transformer decoder (GPT-2) from scratch

An end-to-end natural language processing based app.