Submission for advitiya techfest AI Hackathon using Bert for patent classification.
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Updated
Apr 19, 2020 - Jupyter Notebook
Submission for advitiya techfest AI Hackathon using Bert for patent classification.
An implementation of transfer learning of state of the art transformer language models using hugging-face and pytorch.
Streamlit-App to chat with language models from HuggingFace
My goal from this project is to simulate the new AI startup website in which ML services are demonstrated. The services consist of text to different services etc. text-audio.
HugDown - A HuggingFace file downloader that retries automatically.
A bunch of experiments to improve text simplification (TS) tasks using encoder-decoder transformers
This repository contains my practice in learning llms, specifically BERT, T5, GPT-2
Containerized Web App using Docker, FastApi and Huggingface. Uses GPT2 for Text Completion.
Intern project task using langchain and chat with multiple document
Image to Text conversion
Render a sketch using a Huggingface pipeline
This project is a Text Summarizer that utilizes Transformers, a state-of-the-art natural language processing (NLP) library. The Text Summarizer is capable of generating concise summaries of input text using pre-trained transformer models.
We introduce a large semi-automatically generated dataset of ~400,000 descriptive sentences about commonsense knowledge that can be true or false in which negation is present in about 2/3 of the corpus in different forms that we use to evaluate LLMs
IndoELECTRA: Pre-Trained Language Model for Indonesian Language Understanding
Solving various NLP tasks using Transfer Learning from the pre-trained models provided by huggingface's transformers library
BERT inference (with similar function to hanxiao/bert-as-service) for spaCy with custom extension attributes
5 Projects create using Tensorflow 🚀 and Hugging Face 🤗 hosted on Streamlit Cloud ☁️
A second back-up of my creation: EpiExtract4GARD for the National Center for Advancing Translational Sciences (NCATS) at the National Institutes of Health (NIH).
Keyword extraction to automate the discovery of dataset in publications and public reports
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