Hugging Face Transformers
Hugging Face Transformers is an open-source machine learning library providing thousands of pretrained models and pipelines for Natural Language Processing, Computer Vision, Audio, and multimodal tasks. This index covers the Transformers library and the surrounding Hugging Face APIs that developers use to run inference, manage models, deploy demos, and serve LLMs at scale.
Solid contracts, transparent operations, and an easy start — typically complete on four or five facets with one clear soft spot.
API Evangelist profiles Hugging Face Transformers the way a machine reads it — 62 machine-readable artifacts across 1 API, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Hugging Face Transformers scores 57.2/100 (strong), with a separate agent-readiness read of 52/100 (agent ready). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance. Every facet and dimension name is a link: it opens that measurement's page on APIs.io, where the rating runs across the whole catalog — the exact checks that feed it, how every profiled provider distributes on it, and who is at the top of it.
Kin Score
How this is scored →scored 2026-09-08 · rubric v0.20.0
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How we profile Hugging Face Transformers
Each block below is one kind of artifact we hold for Hugging Face Transformers. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
APIs 27
Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.
Individual APIs this provider publishes, each with its own machine-readable definition.
Hugging Face Transformers Library
Open-source Python library that provides pretrained models, tokenizers, and pipelines for inference and fine-tuning across NLP, vision, audio, and multimodal tasks. The high-lev...
Hugging Face Inference API
Serverless inference API for running predictions against thousands of models hosted on the Hugging Face Hub. Supports NLP, computer vision, audio, and multimodal tasks through a...
Hugging Face Spaces API
API for deploying and managing machine learning applications and demos using Gradio, Streamlit, or Docker on Hugging Face Spaces.
Text Generation Inference (TGI)
High-performance inference server for large language models with continuous batching, token streaming, tensor parallelism, and OpenAI-compatible chat completions endpoints.
Hugging Face Transformers agentic-provisioning API
The following endpoints are for use with Agentic Provisioning Protocol.
Hugging Face Transformers auth API
The following endpoints get information about your currently used user based on the passed token.
Hugging Face Transformers buckets API
Git-free storage buckets for files, powered by Xet. Buckets provide simple file storage without git versioning.
Hugging Face Transformers collections API
Use Collections to group repositories from the Hub (Models, Datasets, Spaces and Papers) on a dedicated page. You can learn more about it in the Collections [guide](https://hugg...
Hugging Face Transformers datasets API
Get information from all datasets on the Hub.
Hugging Face Transformers discussions API
The following endpoints manage discussions.
Hugging Face Transformers docs API
The following endpoints are for interacting with the Hub's documentation.
Hugging Face Transformers inference-endpoints API
Manage inference endpoints.
Hugging Face Transformers jobs API
The following endpoints manage jobs.
Hugging Face Transformers kernels API
Get information from all kernels on the Hub.
Hugging Face Transformers models API
Get information from all models on the Hub.
Hugging Face Transformers notifications API
The following endpoints fetch Hub notifications.
Hugging Face Transformers oauth API
The following endpoints are for use with OAuth.
Hugging Face Transformers orgs API
The following endpoints let you interact with Hub Organizations and their members.
Hugging Face Transformers papers API
The following endpoint gets information about papers.
Hugging Face Transformers repo-search API
The following endpoints help get information about models, datasets, and Spaces stored on the Hub.
Hugging Face Transformers repos API
The following endpoints manage repository settings like creating and deleting a repository.
Hugging Face Transformers resource-groups API
The following endpoints manage resource groups. Resource groups are a Team or Enterprise feature.
Hugging Face Transformers scim API
Use the SCIM API to control and manage your hub Enterprise organization manage members' access. ## Authentication - Must be organization owner - Use Access token with write perm...
Hugging Face Transformers spaces API
Get information from all Spaces on the Hub.
Hugging Face Transformers sql-console API
Get information from SQL Console embeds from a dataset.
Hugging Face Transformers users API
User accounts are the base authoring entity on the Hub
Hugging Face Transformers webhooks API
The following endpoints are for use with webhooks.
Scroll within the panel for all 27 ·
Open Collections 25
Open, tool-agnostic collections carry the same runnable value as Postman without locking you to one client — the portable, forkable form of the same exercise.
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
API Collection
OPEN COLLECTIONHub API Endpoints agentic-provisioning API
OPEN COLLECTIONHub API Endpoints agentic-provisioning auth API
OPEN COLLECTIONHub API Endpoints agentic-provisioning buckets API
OPEN COLLECTIONHub API Endpoints agentic-provisioning collections API
OPEN COLLECTIONHub API Endpoints agentic-provisioning datasets API
OPEN COLLECTIONHub API Endpoints agentic-provisioning discussions API
OPEN COLLECTIONHub API Endpoints agentic-provisioning docs API
OPEN COLLECTIONHub API Endpoints agentic-provisioning jobs API
OPEN COLLECTIONHub API Endpoints agentic-provisioning kernels API
OPEN COLLECTIONHub API Endpoints agentic-provisioning models API
OPEN COLLECTIONHub API Endpoints agentic-provisioning notifications API
OPEN COLLECTIONHub API Endpoints agentic-provisioning oauth API
OPEN COLLECTIONHub API Endpoints agentic-provisioning orgs API
OPEN COLLECTIONHub API Endpoints agentic-provisioning papers API
OPEN COLLECTIONHub API Endpoints agentic-provisioning repo-search API
OPEN COLLECTIONHub API Endpoints agentic-provisioning repos API
OPEN COLLECTIONHub API Endpoints agentic-provisioning resource-groups API
OPEN COLLECTIONHub API Endpoints agentic-provisioning scim API
OPEN COLLECTIONHub API Endpoints agentic-provisioning spaces API
OPEN COLLECTIONHub API Endpoints agentic-provisioning sql-console API
OPEN COLLECTIONHub API Endpoints agentic-provisioning users API
OPEN COLLECTIONHub API Endpoints agentic-provisioning webhooks API
OPEN COLLECTIONHub API Endpoints
OPEN COLLECTIONScroll within the panel for all 25 ·
MCP Servers 1
Model Context Protocol servers expose these APIs directly to AI agents. We profile them because agent-native access is the fastest-growing way this provider's capabilities actually get used.
Model Context Protocol servers that expose these APIs to AI agents.
Hugging Face Transformers MCP Server
MCP SERVERAgent Skills 1
An agent skill packages the how-to for driving these APIs from an assistant — the prompts, the sequence, the guardrails — so the knowledge to use the API travels with it.
Packaged agent skills for driving this provider's APIs from an AI assistant.
transformers-to-mlx
AGENT SKILLPricing Plans 1
Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the things the Kin Score reads for access clarity — renamed from commercial clarity in rubric 0.12, because a free statutory interface has access terms and no commercial ones.
Published pricing tiers and plan structures.
Rate Limits 1
Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.
Documented rate limits and quota policies.
Hugging Face Transformers Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.
Cost, billing, and metering signals for API financial operations.
Security Posture 3
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Scopes 1
OAuth scopes are the vocabulary of least-privilege access. Profiling them shows exactly what an integration — or an agent acting on a user's behalf — is allowed to do.
OAuth scopes governing access to this provider's APIs.
Agentic Access 1
An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.
Recommended x-agentic-access execution contracts for AI agents.
Resources
Every other property we hold for Hugging Face Transformers — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Get Started 1
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 5
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 7
Pagination, idempotency, versioning, errors, and events
Scroll within the panel for all 7 ·
Build 4
SDKs, sample code, and the tooling you integrate with
Access & Security 6
Authentication, authorization, and security posture
Learn 1
Tutorials, courses, talks, and written guidance
Operate 3
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 4
The organization behind the API
Other 1
Properties that don't map to a standard resource type
← All providers · Data indexed from github.com/api-evangelist/hugging-face-transformers · machine-readable index on apis.io
This is an independent, third-party profile of Hugging Face Transformers, published by API Evangelist. We do not operate, host, resell, or support these APIs, and we are not affiliated with or endorsed by the company unless stated above. Everything here is built from publicly available information — the company's own site, developer portal, documentation, public repositories, and the specifications it publishes for public use. Nothing is obtained by breaching a system, defeating an access control, or using credentials.
The Kin Score and Agent Readiness rating are independently calculated assessments of a company's public API artifacts, scored against a published rubric. They are not certifications, endorsements, security assessments, or audits.
Corrections, re-scores, and removal are free — no partnership or purchase required, and you do not need to justify the request. A removed company is recorded as unrated, never scored zero for having asked. Acknowledgement within one business day; removal within two.
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