xet client tech, used in huggingface_hub

🤗 AeroPath: An airway segmentation benchmark dataset with challenging pathology

Automated script to convert Huggingface and GGUF models to rkllm format for running on Rockchip NPU

A composite GitHub Action to login to the HuggingFace Hub

⚓ Minato: A Unified File I/O Library for Python

HuggingFace Hub mirror on Cloudflare Workers

An inprogress tool to speed up your desktop workflow, with the ability to upload from your desktop without the need for Jupyter or CLI.

Qwen-Image-Edit-2509-LoRAs-Fast-Fusion is a fast, interactive web application built with Gradio that enables advanced image editing using the Qwen/Qwen-Image-Edit-2509 model from Alibaba's Qwen team. It leverages specialized LoRA adapters for efficient, low-step inference (as few as 4 steps).

一个从 Hugging Face 镜像站点快速下载模型和数据集的命令行工具。

A Gradio-based demo for end-to-end vision-to-speech inference: Extract text or descriptions from images using Qwen2.5-VL-7B-Instruct, then convert to natural speech audio via Microsoft VibeVoice-Realtime-0.5B.

Dolphin 3.0 🐬: Versatile AI for coding, math, and more

Using paraphrase(text2text generation) model from huggingface in Python desktop app

An app and an SDK to anonymize large PDF files

provide specialized immigration assistance in the field of immigration law using large language model

An unofficial C++ client for the Huggingface Hub

Budget Buddy is a finance chatbot built using Chainlit and the LLaMA language model. It analyzes PDF documents, such as bank statements and budget reports, to provide personalized financial advice and insights. The chatbot is integrated with Hugging Face for model management, offering an interactive way to manage personal finances.

A Gradio-based demonstration application for the Tencent HunyuanOCR model, focused on optical character recognition (OCR) tasks such as text detection, extraction, and coordinate formatting from images. Users can upload images, customize prompts (e.g., for Chinese/English text).

Chat Response Documentation

AM I HUMAN? is a hilarious and slightly paranoid computer vision project that detects gender, age, and liveness basically idea ripped right out of futuristic scanner in Men in Black

Analyze GitHub repository based on pre-trained model, then generate related topics('#').