Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
At a glance
Hugging Face is a agents tool: We’re on a journey to advance and democratize artificial intelligence through open source and open science.
- Pricing: Paid
- Category: Agents
- API: yes
- Open source: yes
- Status: Online · last verified
- Page updated:
What is Hugging Face?
Description: extracted from the tool's own website · reviewed by admin
Frequently asked questions about Hugging Face
What is Hugging Face?
Hugging Face is a agents tool: We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Is Hugging Face free?
No. Hugging Face is a paid tool; check the website for current prices.
Does Hugging Face have an API?
Yes. Hugging Face offers an API or developer documentation for integrations.
Is Hugging Face open source?
Yes. The source code of Hugging Face is publicly available.
Is Hugging Face still online?
Yes. anyai.fyi last verified huggingface.co on 2026-11-07, and it was online.
What are alternatives to Hugging Face?
Alternatives to Hugging Face are other Agents tools with a similar purpose. The list below is sorted by similarity in meaning.
Agent Skills for Hugging Face
All skills →Skills that teach Claude, Codex or Cursor how to work with Hugging Face.
Track and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API), firing alerts for training diagnostics, or retrieving/analyzing logged metrics (CLI).
Use to select models to run locally with llama.cpp and GGUF on CPU, Mac Metal, CUDA, or ROCm. Covers finding GGUFs, quant selection, running servers, exact GGUF file lookup, conversion, and OpenAI-compatible …
Build and publish a Gradio demo on Hugging Face Spaces for a user-provided LoRA. Use when someone asks to create, generate, ship, or publish a Space, demo, Gradio app, or playground for …
Publish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generating professional markdown-based research articles.
Look up and read Hugging Face paper pages in markdown, and use the papers API for structured metadata such as authors, linked models/datasets/spaces, Github repo and project page.
Build, deploy, and maintain applications on Hugging Face Spaces — Gradio / Docker / Static SDKs, ZeroGPU and dedicated hardware, model loading, debugging, buckets, inference providers, community grants.
Use this skill when the user wants to build tool/scripts or achieve a task where using data from the Hugging Face API would help.
Train or fine-tune sentence-transformers models across `SentenceTransformer` (bi-encoder, dense or static embedding model for retrieval, similarity, clustering, classification, paraphrase mining, dedup, multimodal), `CrossEncoder` (reranker, pair scoring for two-stage retrieval / pair classification) …
What are alternatives to Hugging Face?
Novita AI provides 200+ Model APIs, custom deployment, GPU Instances, and Serverless GPUs.
The leading AI models in one place for creative production and game assets.
Access GPT-5.6 Sol, Claude Fable 5.1, Gemini 3.8 Flash, and 60+ AI models from one workspace.
Unified AI model access with prepaid credits. Use OpenAI-compatible clients for supported chat models; check…
Access 1000+ AI models through a single API for text, image, video, audio, code, embeddings, and more.
AI custom software development, enterprise AI solutions, and expert consulting.