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HuggingFace

A command-line tool for running small language models locally using Hugging Face transformers.

Fine-tune SeaLLM-7B / Llama-3-Thai ด้วย QLoRA

This project delivers an AI-powered chatbot with versatile capabilities, including document-based question answering and summarization, image captioning, and audio interaction.

The project provides an end-to-end solution for converting speech to text and analyzing content through semantic segmentation and summarization. It is especially useful for processing lectures, interviews, podcasts and other long audio content.launching the speech analyzer

This project is an intuitive web application for image processing, built with Gradio.

It integrates a variety of image processing techniques I've learned, including vignetting, edge detection, image resizing, and noise generation. The goal is to provide a simple, no-code interface for anyone to apply these common image manipulations.

You can try the live demo here: Huggingface :https://huggingface.co/spaces/Lifth/Image_processing_function

Emacs AI-powered text & code completion client

LLM powered chatbot for discussing the Reformed Christian faith (with a lean towards Presbyterianism).

https://gitlab.matthewrease.net/matthew/reformed-dave

BDS LLM Chat - Hugging Face API Wrapper

A Flask-based chat application that serves as a wrapper for the LLaMA 3.2 model from Hugging Face. This application provides a user-friendly web interface and API for interacting with the model.

Features Modern responsive UI with dark/light mode support Persistent chat history in browser localStorage Markdown rendering for model responses REST API compatible with OpenAI-style endpoints Centralized model worker for efficient inference Redis-backed queue for robust request handling Queue-based architecture for handling multiple requests Admin dashboard for user and API key management External API access with API key authentication MongoDB-based persistence for chats, users, and API keys

Practica de un Guardrail, usando el clasificador de facebook.

Using Natural Language Processing (NLP) on job ads for applications in Econometrics.

Terminal and Web client for Text Completion tasks written in Go - various Hugging Face's hosted LLMs

Terminal Text to Image client written in Go - various Hugging Face's hosted diffusers models

Motivation Letters Expert system with LLM to enhance the given motivation letters.

ANTIDOTE's ACTA Module for Finetuning Transformers for Argumentation Mining.

可自行input 客製化內容的pdf檔案，並針對文檔內容作為回答的聊天機器人。 Creating a chatbot that provides specific responses based on certain content.

Code to create image variations from one image to multiple amount

So now this code won't work, but some time this error didn't appear. So i think that the error in dependences

This is a demo of my angular application for grammatical error correction with transformers based on multilingual Bart correction. The model is trained in 4 languages:

Italian English Russian German

This repository contains a running natural language processing with R. In the background, the huggingface (https://huggingface.co/models) model library is used (thus some of the code is written in Python). Beware this is work in progress.