Track your wellness inside and out. Log fitness metrics like heart rate and sleep, alongside mood, energy, and recovery. This journal helps you connect data with how you feel—for a deeper understanding of your overall well-being.

Hugging Face Daily Papers, now with AI-powered search! Describe what you're looking for, or discover something new with the random button. It's time to feel lucky!

SmolDocling, from Hugging Face and IBM Research, is the ultra-compact (256M) open VLM for end-to-end document conversion. Extracts text, layout, tables, code, and more from images.

SmolVLM2, from HuggingFace, is a series of tiny, open-source multimodal model for video understanding. Processes video, images, and text. Ideal for on-device applications.

Gemma 2: 2B QazPerry is a fine-tuned version of the Gemma 2B model, specifically optimized for the Kazakh language. This model is part of the QazPerry initiative, which aims to develop Small Large Language Models (SLLMs) to enhance Kazakh NLP capabilities.

An open-source library for building and sharing web-based AI apps with ease. Deploy, customize, and share machine learning model demos in just a few lines of Python.

HuggingChat's goal is to provide an AI assistant with a friendly, human-like personality and the ability to understand and respond to natural language queries from users like you.

Unleash the potential of top-notch artificial intelligence with HuggingChat, offering seamless communication between users and several groundbreaking large language models (LLMs) from multiples providers like Mistral AI, Meta and Google.

lightweight image processing project that convert to numbers