This repository contains my practice in learning llms, specifically BERT, T5, GPT-2
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Updated
Dec 25, 2023 - Jupyter Notebook
This repository contains my practice in learning llms, specifically BERT, T5, GPT-2
End-to-End Conditional Poetry Generation
Chat bot using free and open source LLM with Langchain
This project classifies Amazon Food comments into positive, neutral, or negative sentiments. It employs two methods: a Bag-of-Words approach using VADER and transformers encoder-decoder approach using T5.
The Bot Warfare mod for Black Ops 1
Testing of the possible use of transformers model for various NLP tasks leveraging BERT pretrained model from Hugginface
This project consists of creating a streamlit app to summarize texts and identify entities. It uses both T5 and BART as summarization tools.
This repository explores the use of advanced sequence-to-sequence networks and transformer models, such as BERT, BART, PEGASUS, and T5, for summarizing multi-text documents in the medical domain. It leverages extensive datasets like CORD-19 and a Biomedical Abstracts dataset from Hugging Face to fine-tune these models.
This project is about end-to-end implementation of sentence paraphrasing model using the docker
Poster submitted by Pseudo Lab for ACH2021
mT5 based pre-trained model to generate question paraphrases in Turkish language.
Finetune t5 model for text2text generation use case to generate human like text
GACN: Generating Annotated Clinical Notes for Improved Classification
LongT5-based model pre-trained on a large amount of unlabeled Vietnamese news texts and fine-tuned with ViMS and VMDS collections
Finetuning T5 for question answering
Classification, ADSA and Text Summarisation based project for BridgeI2I Task at Inter IIT 2021 Competition. Silver Medalists.
Text Summarization using Pre-Trained T5 on News Dataset
An end-to-end conversational system capable of delivering empathetic interactions and effectively sharing opinions, engaging in topical conversations and sharing factual information
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