An implementation of transfer learning of state of the art transformer language models using hugging-face and pytorch.
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Updated
Mar 15, 2021 - Python
An implementation of transfer learning of state of the art transformer language models using hugging-face and pytorch.
HugDown - A HuggingFace file downloader that retries automatically.
Containerized Web App using Docker, FastApi and Huggingface. Uses GPT2 for Text Completion.
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
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 ☁️
Keyword extraction to automate the discovery of dataset in publications and public reports
🐾 A lightweight & extensible library to create complex multi-model and multi-modal pipelines, including ``Ensembles`` and ``Meta-Models``
🤗 Hugging Face space for gnina-torch 🔥
A course project for DA 623: Computing with Signals. We investigate the use of Non-negative Matrix Factorization for speaker diarization and source separation.
ImageAnalyst HF is an extension to the ImageAnalyst library, providing additional models and functions using huggingface.
A sentiment analysis website powered by an AI model trained on 40k+ tweets. (Check Readme for team members)
This repository contains code for a chatbot implemented using Gradio and OpenAI's text-davinci-003 model.
Image Retrieval
The Content Creator Chatbot is an interactive chatbot designed to generate concise and appealing summaries for potential investors based on the description of a content creator. It leverages natural language processing (NLP) techniques, token optimization, inference optimization, and the OpenAI GPT-3 language model to provide personalized response.
The AI framework for software engineers
A stanza API service hosted on Huggingface Spaces
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