huggingface

A python package to run inference with HuggingFace language and vision-language checkpoints wrapping many convenient features.

Publication-quality LLM architecture figures from config.json — Raschka-style towers, diffs, posters, VRAM math. No weights needed.

A web-based memory usage and performance calculator for Huggingface GGUF models

Web Scraping, Document Deduplication & GPT-2 Fine-tuning with a newly created scam dataset.

Typescript wrapper for the Hugging Face Inference API.

PySpark custom data source for Hugging Face Datasets

Distributed peer-to-peer LLM inference. Your prompt never leaves your device in clear text.

Implementation of the HuggingFace Xet Protocol.

Prototyping a Machine Learning Application with Streamlit, FastAPI, Hugging Face and Docker

Real-time visualization of sentiment analysis on text input

YOLOv10: Real-Time Fire and Smoke Detection

Tools for the Griptape Framework.

🎩 AI-powered cover letter generator

Export and Run Hugging Face Transformers Models on Rockchip NPUs

A compiler that transforms computation graphs into the weights of a transformer

Advanced NLP Workshop: word-sense disambiguation with RoBERTa and text summarization with BART (Machine Learning Milan)

Fine tune LLM with HuggingFace

VAAS is an inference-first, research-driven library for image integrity analysis. It integrates Vision Transformer Attention Mechanisms with patch-level self-consistency analysis to enable fine-grained localization and detection of visual inconsistencies across diverse image analysis tasks.

All-in-one UI for merged LLMs in Hugging Face

Ultra-Intelligent AI-in-one Application Platform | 至数云-超轻量智能应用平台/智能平台