Hugging Face
The AI community building the future with open-source machine learning models, datasets, and applications.
6 APIs
7 Features
Run inference on 200,000+ machine learning models with a simple HTTP request.
Programmatically interact with the Hugging Face Hub - manage models, datasets, and spaces.
Deploy and scale machine learning models with dedicated, secure infrastructure.
Unified proxy layer providing access to 15+ inference partners through a single OpenAI-compatible endpoint.
Query and visualize datasets stored on the Hugging Face Hub through a lightweight REST API.
High-performance toolkit for deploying and serving large language models with optimized inference.
Model Inference
Run inference on 200,000+ ML models with a simple HTTP request across NLP, vision, audio, and multimodal tasks.
Hub Repository Management
Programmatically manage models, datasets, and spaces including creation, versioning, and access control.
Dedicated Endpoints
Deploy models on dedicated infrastructure with autoscaling, custom hardware, and private networking.
Multi-Provider Routing
Unified OpenAI-compatible API routing to 15+ inference providers with automatic model selection.
Dataset Exploration
Query, search, filter, and visualize datasets without downloading via the Dataset Viewer API.
Text Generation Inference
High-performance LLM serving with streaming, tool calling, structured output, and grammar constraints.
OpenAI Compatibility
Drop-in replacement for OpenAI API with chat completions, embeddings, and image generation endpoints.
ML Model Prototyping
Rapidly prototype AI applications by running inference on pre-trained models without infrastructure setup.
Production ML Deployment
Deploy and scale ML models for production workloads with dedicated endpoints and autoscaling.
Dataset Curation
Explore, validate, and curate ML datasets programmatically for training pipeline automation.
AI Application Development
Build AI-powered applications using unified inference APIs with multi-provider routing.
Model Benchmarking
Compare model performance across providers and hardware configurations for optimization.
name: Hugging Face
description: The AI community building the future with open-source machine learning models, datasets, and applications.
image: https://huggingface.co/front/assets/huggingface_logo.svg
url: https://huggingface.co
created: '2024'
modified: '2026-05-19'
specificationVersion: '0.18'
apis:
- name: Hugging Face Inference API
description: Run inference on 200,000+ machine learning models with a simple HTTP request.
image: https://huggingface.co/front/assets/huggingface_logo.svg
humanURL: https://huggingface.co/docs/api-inference/index
baseURL: https://api-inference.huggingface.co
tags:
- AI
- Inference
- Machine Learning
- Models
properties:
- type: Documentation
url: https://huggingface.co/docs/api-inference/index
- type: OpenAPI
url: https://huggingface.co/api-inference/openapi.json
- type: OpenAPI
url: openapi/hugging-face-inference-api.yml
- type: Authentication
url: https://huggingface.co/docs/api-inference/quicktour#authentication
- type: GettingStarted
url: https://huggingface.co/docs/api-inference/quicktour
- type: RateLimits
url: https://huggingface.co/docs/api-inference/en/rate-limits
- type: FAQ
url: https://huggingface.co/docs/api-inference/faq
contact:
- type: Support
url: https://huggingface.co/support
- name: Hugging Face Hub API
description: Programmatically interact with the Hugging Face Hub - manage models, datasets, and spaces.
image: https://huggingface.co/front/assets/huggingface_logo.svg
humanURL: https://huggingface.co/docs/hub/api
baseURL: https://huggingface.co/api
tags:
- Datasets
- Hub
- Models
- Repository Management
properties:
- type: Documentation
url: https://huggingface.co/docs/hub/api
- type: OpenAPI
url: https://huggingface.co/.well-known/openapi.json
- type: OpenAPI
url: openapi/hugging-face-hub-api.yml
- type: SDK
url: https://huggingface.co/docs/huggingface_hub/index
- type: SDK
url: https://huggingface.co/docs/huggingface.js/hub/README
- type: Authentication
url: https://huggingface.co/docs/hub/security-tokens
- type: RateLimits
url: https://huggingface.co/docs/hub/en/rate-limits
contact:
- type: Support
url: https://huggingface.co/support
- name: Hugging Face Inference Endpoints API
description: Deploy and scale machine learning models with dedicated, secure infrastructure.
image: https://huggingface.co/front/assets/huggingface_logo.svg
humanURL: https://huggingface.co/docs/inference-endpoints/index
baseURL: https://api.endpoints.huggingface.cloud
tags:
- Deployment
- Enterprise
- Inference
- Managed Service
properties:
- type: Documentation
url: https://huggingface.co/docs/inference-endpoints/api_reference
- type: OpenAPI
url: openapi/hugging-face-inference-endpoints-api.yml
- type: GettingStarted
url: https://huggingface.co/docs/inference-endpoints/index
- type: Pricing
url: https://huggingface.co/pricing#inference-endpoints
- type: Authentication
url: https://huggingface.co/docs/hub/security-tokens
contact:
- type: Support
url: https://huggingface.co/support
- name: Hugging Face Inference Providers API
description: Unified proxy layer providing access to 15+ inference partners through a single OpenAI-compatible endpoint.
image: https://huggingface.co/front/assets/huggingface_logo.svg
humanURL: https://huggingface.co/docs/inference-providers/en/index
baseURL: https://router.huggingface.co/v1
tags:
- AI
- Inference
- OpenAI Compatible
- Providers
properties:
- type: Documentation
url: https://huggingface.co/docs/inference-providers/en/index
- type: OpenAPI
url: openapi/hugging-face-inference-providers-api.yml
- type: APIReference
url: https://huggingface.co/docs/inference-providers/en/tasks/index
- type: GettingStarted
url: https://huggingface.co/docs/inference-providers/en/guides/first-api-call
- type: Pricing
url: https://huggingface.co/docs/inference-providers/pricing
- type: Models
url: https://huggingface.co/inference/models
contact:
- type: Support
url: https://huggingface.co/support
- name: Hugging Face Dataset Viewer API
description: Query and visualize datasets stored on the Hugging Face Hub through a lightweight REST API.
image: https://huggingface.co/front/assets/huggingface_logo.svg
humanURL: https://huggingface.co/docs/dataset-viewer/index
baseURL: https://datasets-server.huggingface.co
tags:
- Data
- Datasets
- Viewer
properties:
- type: Documentation
url: https://huggingface.co/docs/dataset-viewer/index
- type: OpenAPI
url: https://datasets-server.huggingface.co/openapi.json
- type: OpenAPI
url: openapi/hugging-face-dataset-viewer-api.yml
- type: GettingStarted
url: https://huggingface.co/docs/dataset-viewer/en/quick_start
- type: GitHubRepository
url: https://github.com/huggingface/dataset-viewer
contact:
- type: Support
url: https://huggingface.co/support
- name: Hugging Face Text Generation Inference API
description: High-performance toolkit for deploying and serving large language models with optimized inference.
image: https://huggingface.co/front/assets/huggingface_logo.svg
humanURL: https://huggingface.co/docs/text-generation-inference/en/index
baseURL: https://api-inference.huggingface.co
tags:
- AI
- Inference
- LLM
- Text Generation
properties:
- type: Documentation
url: https://huggingface.co/docs/text-generation-inference/en/index
- type: OpenAPI
url: openapi/hugging-face-text-generation-inference-api.yml
- type: APIReference
url: https://huggingface.co/docs/text-generation-inference/en/reference/api_reference
- type: GettingStarted
url: https://huggingface.co/docs/text-generation-inference/quicktour
- type: Documentation
url: https://huggingface.co/docs/text-generation-inference/en/messages_api
- type: GitHubRepository
url: https://github.com/huggingface/text-generation-inference
contact:
- type: Support
url: https://huggingface.co/support
common:
- type: PostmanWorkspace
url: https://www.postman.com/kinlaneapi/hugging-face/overview
- type: ArazzoWorkflows
url: arazzo/
workflows:
- url: arazzo/hugging-face-chat-completion-with-model-discovery-workflow.yml
name: Hugging Face Chat Completion with Model Discovery
summary: Discover an available router model, confirm it exists, then run an OpenAI-compatible chat completion.
- url: arazzo/hugging-face-create-repo-and-configure-workflow.yml
name: Hugging Face Create Repository and Configure
summary: Identify the authenticated user, create a new repository, then set its visibility and gating.
- url: arazzo/hugging-face-dataset-filter-rows-workflow.yml
name: Hugging Face Dataset Filter Rows
summary: Confirm a dataset supports filtering, resolve its split, then apply a SQL-like filter.
- url: arazzo/hugging-face-dataset-search-and-statistics-workflow.yml
name: Hugging Face Dataset Search and Statistics
summary: Resolve a dataset split, full-text search within it, then pull column statistics.
- url: arazzo/hugging-face-dataset-size-and-parquet-workflow.yml
name: Hugging Face Dataset Size and Parquet Files
summary: Confirm a dataset on the Hub, read its size profile, then list its Parquet files.
- url: arazzo/hugging-face-dataset-validate-and-preview-workflow.yml
name: Hugging Face Dataset Validate and Preview
summary: Check a dataset is viewer-ready, list its splits, then preview the first rows.
- url: arazzo/hugging-face-deploy-inference-endpoint-workflow.yml
name: Hugging Face Deploy Inference Endpoint and Wait
summary: Create a dedicated Inference Endpoint, then poll its status until it is running.
- url: arazzo/hugging-face-discover-space-workflow.yml
name: Hugging Face Discover a Space
summary: Search Hub Spaces by SDK and query, then load the top Space's details.
- url: arazzo/hugging-face-embeddings-pair-workflow.yml
name: Hugging Face Embeddings Pair
summary: Confirm an embedding model is available, then embed a query and a document for comparison.
- url: arazzo/hugging-face-grounded-text-generation-workflow.yml
name: Hugging Face Grounded Text Generation
summary: Find a text-generation model on the Hub, confirm it, then run hosted text generation.
- url: arazzo/hugging-face-search-and-inspect-model-workflow.yml
name: Hugging Face Search and Inspect a Model
summary: Search the Hub for a model, fetch its full record, then inspect a specific revision.
- url: arazzo/hugging-face-summarize-then-translate-workflow.yml
name: Hugging Face Summarize Then Translate
summary: Summarize a long document with one model, then translate the summary with another.
- url: arazzo/hugging-face-tgi-inspect-and-generate-workflow.yml
name: Hugging Face TGI Inspect and Generate
summary: Read a TGI server's info, tokenize a prompt to check its length, then generate text.
- url: arazzo/hugging-face-toggle-endpoint-state-workflow.yml
name: Hugging Face Toggle Inference Endpoint State
summary: Read an endpoint's current state, then pause it if running or resume it if paused.
- type: Portal
url: https://huggingface.co
- type: Documentation
url: https://huggingface.co/docs
- type: GettingStarted
url: https://huggingface.co/inference/get-started
- type: Pricing
url: https://huggingface.co/pricing
- type: Blog
url: https://huggingface.co/blog
- type: ChangeLog
url: https://huggingface.co/changelog
- type: SignUp
url: https://huggingface.co/signup
- type: Login
url: https://huggingface.co/login
- type: Support
url: https://huggingface.co/support
- type: Contact
url: https://huggingface.co/contact/sales
- type: Support
url: https://discuss.huggingface.co
- type: GitHubOrganization
url: https://github.com/huggingface
- type: X
url: https://twitter.com/huggingface
- type: LinkedIn
url: https://www.linkedin.com/company/huggingface
- type: Support
url: https://huggingface.co/join/discord
- type: YouTube
url: https://www.youtube.com/@HuggingFace
- type: StatusPage
url: https://status.huggingface.co
- type: TermsOfService
url: https://huggingface.co/terms-of-service
- type: PrivacyPolicy
url: https://huggingface.co/privacy
- type: SDK
url: https://huggingface.co/docs/huggingface_hub/index
- type: SDK
url: https://huggingface.co/docs/huggingface.js/en/index
- type: Features
data:
- name: Model Inference
description: >-
Run inference on 200,000+ ML models with a simple HTTP request across NLP, vision, audio, and multimodal
tasks.
- name: Hub Repository Management
description: Programmatically manage models, datasets, and spaces including creation, versioning, and access control.
- name: Dedicated Endpoints
description: Deploy models on dedicated infrastructure with autoscaling, custom hardware, and private networking.
- name: Multi-Provider Routing
description: Unified OpenAI-compatible API routing to 15+ inference providers with automatic model selection.
- name: Dataset Exploration
description: Query, search, filter, and visualize datasets without downloading via the Dataset Viewer API.
- name: Text Generation Inference
description: High-performance LLM serving with streaming, tool calling, structured output, and grammar constraints.
- name: OpenAI Compatibility
description: Drop-in replacement for OpenAI API with chat completions, embeddings, and image generation endpoints.
- type: UseCases
data:
- name: ML Model Prototyping
description: Rapidly prototype AI applications by running inference on pre-trained models without infrastructure setup.
- name: Production ML Deployment
description: Deploy and scale ML models for production workloads with dedicated endpoints and autoscaling.
- name: Dataset Curation
description: Explore, validate, and curate ML datasets programmatically for training pipeline automation.
- name: AI Application Development
description: Build AI-powered applications using unified inference APIs with multi-provider routing.
- name: Model Benchmarking
description: Compare model performance across providers and hardware configurations for optimization.
- type: Integrations
data:
- name: AWS
description: Deploy inference endpoints on AWS with SageMaker integration and GPU instances.
- name: Google Cloud
description: Route inference to Google Cloud TPUs and GPUs through the providers API.
- name: Azure
description: Deploy models on Azure infrastructure with managed endpoint support.
- name: LangChain
description: Use Hugging Face models as LangChain LLM and embedding providers.
- name: Gradio
description: Build interactive ML demos with Gradio and deploy as Hugging Face Spaces.
- type: JSONSchema
url: json-schema/hugging-face-model-schema.json
- type: JSONSchema
url: json-schema/hugging-face-dataset-schema.json
- type: JSONSchema
url: json-schema/hugging-face-space-schema.json
- type: JSONSchema
url: json-schema/hugging-face-inference-endpoint-schema.json
- type: JSONSchema
url: json-schema/hugging-face-user-schema.json
- type: JSONLD
url: json-ld/hugging-face-context.jsonld
- type: Integrations
url: https://huggingface.co/integrations
- name: MCP Server
url: https://github.com/huggingface/hf-mcp-server
type: MCPServer
- name: Agent Skills
url: https://github.com/huggingface/skills
type: AgentSkill
integrations:
- name: models 0
- name: datasets 0
maintainers:
- name: Kin Lane
email: [email protected]
url: https://apievangelist.com