Hugging Face
The AI community building the future with open-source machine learning models, datasets, and applications.
APIs
Hugging Face Inference API
Run inference on 200,000+ machine learning models with a simple HTTP request.
Hugging Face Hub API
Programmatically interact with the Hugging Face Hub - manage models, datasets, and spaces.
Hugging Face Inference Endpoints API
Deploy and scale machine learning models with dedicated, secure infrastructure.
Hugging Face Inference Providers API
Unified proxy layer providing access to 15+ inference partners through a single OpenAI-compatible endpoint.
Hugging Face Dataset Viewer API
Query and visualize datasets stored on the Hugging Face Hub through a lightweight REST API.
Hugging Face Text Generation Inference API
High-performance toolkit for deploying and serving large language models with optimized inference.
Agent Skills
hf-cli
AGENT SKILLhf-mcp
AGENT SKILLhuggingface-best
AGENT SKILLhuggingface-community-evals
AGENT SKILLhuggingface-datasets
AGENT SKILLhuggingface-gradio
AGENT SKILLhuggingface-llm-trainer
AGENT SKILLhuggingface-local-models
AGENT SKILLhuggingface-paper-publisher
AGENT SKILLhuggingface-papers
AGENT SKILLhuggingface-tool-builder
AGENT SKILLhuggingface-trackio
AGENT SKILLhuggingface-vision-trainer
AGENT SKILLhuggingface-zerogpu
AGENT SKILLtrain-sentence-transformers
AGENT SKILLtransformers-js
AGENT SKILLCollections
Hugging Face Dataset Viewer API
POSTMANHugging Face Hub API
POSTMANHugging Face Inference API
POSTMANHugging Face Hub API
OPENArazzo Workflows
Hugging Face Chat Completion with Model Discovery
Discover an available router model, confirm it exists, then run an OpenAI-compatible chat completion.
ARAZZOHugging Face Create Repository and Configure
Identify the authenticated user, create a new repository, then set its visibility and gating.
ARAZZOHugging Face Dataset Filter Rows
Confirm a dataset supports filtering, resolve its split, then apply a SQL-like filter.
ARAZZOHugging Face Dataset Search and Statistics
Resolve a dataset split, full-text search within it, then pull column statistics.
ARAZZOHugging Face Dataset Size and Parquet Files
Confirm a dataset on the Hub, read its size profile, then list its Parquet files.
ARAZZOHugging Face Dataset Validate and Preview
Check a dataset is viewer-ready, list its splits, then preview the first rows.
ARAZZOHugging Face Deploy Inference Endpoint and Wait
Create a dedicated Inference Endpoint, then poll its status until it is running.
ARAZZOHugging Face Discover a Space
Search Hub Spaces by SDK and query, then load the top Space's details.
ARAZZOHugging Face Embeddings Pair
Confirm an embedding model is available, then embed a query and a document for comparison.
ARAZZOHugging Face Grounded Text Generation
Find a text-generation model on the Hub, confirm it, then run hosted text generation.
ARAZZOHugging Face Search and Inspect a Model
Search the Hub for a model, fetch its full record, then inspect a specific revision.
ARAZZOHugging Face Summarize Then Translate
Summarize a long document with one model, then translate the summary with another.
ARAZZOHugging Face TGI Inspect and Generate
Read a TGI server's info, tokenize a prompt to check its length, then generate text.
ARAZZOHugging Face Toggle Inference Endpoint State
Read an endpoint's current state, then pause it if running or resume it if paused.
ARAZZOGraphQL
Hugging Face GraphQL Schema
This conceptual GraphQL schema models the Hugging Face AI platform, covering the full surface area of its public APIs: the Hub API for managing models, datasets, and spaces; the...
GRAPHQLPricing Plans
Rate Limits
FinOps
Hugging Face Finops
FINOPSFeatures
Run inference on 200,000+ ML models with a simple HTTP request across NLP, vision, audio, and multimodal tasks.
Programmatically manage models, datasets, and spaces including creation, versioning, and access control.
Deploy models on dedicated infrastructure with autoscaling, custom hardware, and private networking.
Unified OpenAI-compatible API routing to 15+ inference providers with automatic model selection.
Query, search, filter, and visualize datasets without downloading via the Dataset Viewer API.
High-performance LLM serving with streaming, tool calling, structured output, and grammar constraints.
Drop-in replacement for OpenAI API with chat completions, embeddings, and image generation endpoints.
Use Cases
Rapidly prototype AI applications by running inference on pre-trained models without infrastructure setup.
Deploy and scale ML models for production workloads with dedicated endpoints and autoscaling.
Explore, validate, and curate ML datasets programmatically for training pipeline automation.
Build AI-powered applications using unified inference APIs with multi-provider routing.
Compare model performance across providers and hardware configurations for optimization.
Semantic Vocabularies
API Governance Rules
JSON Structure
Hugging Face Inference Providers Chat Completion Stream Response Structure
6 properties
JSON STRUCTUREHugging Face Text Generation Inference Chat Completion Request Structure
17 properties
JSON STRUCTUREHugging Face Text Generation Inference Chat Completion Response Structure
6 properties
JSON STRUCTUREHugging Face Text Generation Inference Chat Completion Stream Response Structure
6 properties
JSON STRUCTUREHugging Face Text Generation Inference Completion Stream Response Structure
5 properties
JSON STRUCTURE