Popular GitHub Repositories for Roberta Model

The purpose of this repository is to introduce new dialogue-level commonsense inference datasets and tasks. We chose dialogues as the data source because dialogues are known to be complex and rich in commonsense.

A quantitative study on over 1.25 million tweets about ChatGPT, employed data scrapping, data cleaning, EDA, topic modeling, and sentiment analysis.

NLP model zoo for Russian

Topic clustering library built on Transformer embeddings and cosine similarity metrics.Compatible with all BERT base transformers from huggingface.

This app Classifies the text generated by AI tools like chatGPT. Roberta-base-openai-detector Model has been used from hugging face to detect ai generated texts.

This repository contains the code of our winning solution for the Shared Task on Detecting Signs of Depression from Social Media Text at LT-EDI-ACL2022.

Sentiment Analysis of tweets written in underused Slavic languages (Serbian, Bosnian and Croatian) using pretrained multilingual RoBERTa based model XLM-R on 2 different datasets.

This is a project of twitter sentiment analysis using machine learning(Support Vector Machines,Naive Bayes), deep learning(LSTM), Transformer(BERT,ROBERTA).

Source code for CoNLL 2021 paper by Huebner et al. 2021

Convert pretrained RoBerta models to various long-document transformer models

CatIss is an intelligent tool for automatic categorization of issue reports based on the RoBERTa model.

This repository contains the solutions to three problem statements completed during the hackathon. Each problem statement is categorized based on its difficulty level: Easy, Moderate, and Hard.

repo for the HeartBERT model

A project demonstrating the use of Large Language Models (LLMs) for text classification using the RoBERTa model.

Fine-tuning a RoBERTa model for sentiment analysis on the IMDB movie reviews dataset using the Adapter method and PyTorch Transformers

Compute RoBERTa embeddings in PHP using ONNX framework.

All-in-one repo for the Lemone-embed project, a series of fine-tuned embedding models for Tax retrieval augmented generation (RAG).

Building this project to generate MCQ Questions from any type of text and generate answers and distractors for it.

Fine tuned RoBERTa model for sentiment analysis.

Building a multilingual NER app with HuggingFace, Gradio and Comet