huggingface

A simple RAG chatbot that can retrieve from a mediawiki data dump

Machine Learning Project to Predict House Prices in Bangalore.

The multilingual language model XLM-R fine-tuned for metaphor detection on a token-level using Huggingface

Local CLI for Google's TranslateGemma translation models with multi-platform support (MLX for Apple Silicon, PyTorch for CUDA/CPU).

The Hugging Face API wrapper for Delphi leverages cutting-edge models to deliver powerful features, including object detection, music generation, text classification, sentiment analysis, image segmentation, speech-to-text transcription, and text generation.

Text simplification for a better world: Deep-Martin Transformer 🤗

This node is based on MykolaL/StableDesign

Exploring NLP weak supervision approaches to train text classification models. The project is also a prototype for a semi-automated text data labelling platform. Approaches: Snorkel and Zero-Shot Learning.

🤗🧑‍🚀 A collection of tools to help you deploy, bundle HuggingFace Spaces and related assets with ease.

Generate fake restaurant reviews with GPT-2 using Yelp Dataset

Open-source benchmark for evaluating LLMs on 220 real professional tasks across 9 sectors and 44 occupations. Reproducible experiments, artifact validation, grading, and a live evidence dashboard.

AstorAI is a user-friendly medical chatbot powered by Retrieval-Augmented Generation (RAG) and the advanced LLama 3 model. It offers real-time, accurate responses to a wide range of medical queries, ensuring privacy and security in every interaction. Designed for ease of use, AstorAI provides reliable health information on various topics 24/7.

Hebrew text generation models based on EleutherAI's gpt-neo. Each was trained on a TPUv3-8 made avilable via TPU Research Cloud Program.

Download Huggingface repositories without the need to install dependencies

An app to organize your research: A Paper Based Approach

Ejercicios para aprender a hacer NLP impulsado por las librerías de Hugging Face.

Flan-t5-base model was fine-tuned on Nvidia Question and Answer Pair Dataset available on Kaggle. This is a beginner level project who wants to step in to the world of Large Language Models.

A Streamlit-powered machine learning playground that automatically detects classification or regression tasks, builds pipelines with preprocessing, trains models interactively, and visualizes metrics using Plotly. Backward-compatible, fully responsive, and deployable on Streamlit Cloud or Docker.

Using langchain framework created some useful Ai applications.

基于YOLOV8的人脸检测模型，从huggingface上面下载，通过gradio进行部署，实现输入图片的URL或者上传图片，模型检测出所有的人脸，并返回位置信息