# Hugging Face Transformers

**Canonical:** https://apis.io/providers/hugging-face-transformers/  
**Website:** https://huggingface.co  
**APIs profiled:** 27

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.

## Kin Score — 46.3 / 100 (developing)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+1.1 from 45.2).

| Facet | Score |
|---|---|
| Discoverability | 83.3 |
| Contract Quality | 50.6 |
| Governance | 16.7 |
| Contract Governance | 16.7 |
| Operational Transparency | 36.8 |
| Developer Ergonomics | 42.9 |
| Commercial Clarity | 50.0 |
| Access Clarity | 50.0 |

## Agent readiness — 54.6 (agent-ready)

| Dimension | Value |
|---|---|
| Spec Presence | yes |
| Agentic Access | derived |
| Reversibility Documented | documented |
| MCP Server | verified |
| Auth Clarity | yes |
| Idempotency | no |
| Error Semantics | documented |
| OpenAPI Examples | partial |
| Rate Limit Signal | documented |
| Event Surface Described | no |
| Agent Skills | yes |
| Well Known Catalog | no |
| Consent Identity | yes |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Freemium · Self-serve signup — onboarding: self-serve, pricing: freemium, trial: no (confidence: high).

## APIs (27)

- **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.

## MCP servers (1)

- **Hugging Face Transformers MCP Server**

## Agentic access (1)

- **Hugging Face Transformers Agentic Access** — 283 operations · 152 acting · 2 human-in-the-loop

## Security (3)

- **Hugging Face Transformers Authentication** — http/oauth2 · 2 schemes
- **Hugging Face Transformers Domain Security** — TLSv1.3 · DNSSEC · DMARC
- **Hugging Face Transformers Vulnerability Disclosure** — security.txt · contact published

## Plans (1)

- **Hugging Face Transformers Plans Pricing**

## Tags

Artificial Intelligence, Computer-Vision, Deep Learning, Machine-Learning, Natural Language Processing, Open-Source, Transformers

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/hugging-face-transformers/). Scores are computed from the provider's own public artifacts under a published rubric.