Train own hugging face language model
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Updated
Nov 12, 2023 - Jupyter Notebook
Train own hugging face language model
Identify and classify toxic online comments,based on kaggle dataset
A webapp to extract summary and important keywords in news text using HuggingFace transformers.
This repository contains code/papers/research on Speech or Audio Classification
Welcome to the repo where I test different NLP ideas 🤖 & 📝
This application was build with fast API and python to communicate with T5-base model and translate among 4 languages, i.e. English, French, Romanian, German.
Natural Language Inference on Farstail dataset using hugging face transformers
Text summarizer using huggingface and Transformers. This application uses Natural Language Processing to summarize the given page of text to Cool readable paragraph.
This is ByteFetcher
This project allows users to thoroughly test their HuggingFace AI models with comparison and saving functionalities.
A semantic search transformer model fine-tuned on the PyTorch GitHub issues dataset, hosted on Hugging Face, and integrated with Streamlit for easy use.
I have implemented the common operations in NLP domain (实现NLP中各种常规操作,如分词、句法、命名实体识别、语义话题模型、爬虫、ElasticSearch和Faiss向量检索,huggingface-transformers完成各种任务,2023)
Welcome to the Falcon 40B Chatbot Demo repository! This project demonstrates how to utilize the Falcon-40B-Instruct model from Hugging Face in combination with the LangChain framework. The code showcases how to set up and interact with the model, while also integrating it into the LangChain library for advanced conversational capabilities.
The goal of this project is to develop a Named Entity Recognition (NER) system that can identify and classify named entities (such as names of people, organizations, locations, dates, etc.) in a given text using the BERT model from Hugging Face's Transformers library.
Concise is a full stack application that summarizes YouTube videos using open source transformer models.
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