We’re on a journey to advance and democratize artificial intelligence through open source and open science.

HuggingFace's platform is a resource for developers and researchers working in natural language processing (NLP) and machine learning, offering insights into NLP models, tools, and datasets. Through articles, tutorials, and open-source projects, HuggingFace offers insights into state-of-the-art NLP techniques, transformer architectures, and transfer learning methods. Developers can learn about using pre-trained models, fine-tuning strategies, and deploying NLP applications with HuggingFace's libraries and APIs.

Hugging Face

A guide for migrating OpenClaw, Pi, or Open Code agents away from closed models to open alternatives. Two paths are covered: using Hugging Face Inference Providers (fastest, recommends GLM-5) or running models fully locally via llama.cpp (recommends Qwen3.5-35B-A3B-GGUF for 32GB RAM setups). Includes step-by-step configuration commands for both routes, covering authentication, model selection, and OpenClaw config setup.

Liberate your OpenClaw