How AI is applied across API Evangelist and APIs.io. Read my AI disclosure →
API Evangelist API Evangelist
Discovery
Learnings
Guidance
Toolbox
Alignment
API Evangelist LLC
Discovery
Learnings
Guidance
Toolbox
Alignment
API Evangelist LLC

Need help?

Contact us
Hugging Face

Hugging Face Natural Language Processing API

NLP tasks including text generation, classification, and translation

Documentation Provider Profile APIs.io OpenAPI GitHub

Hugging Face Natural Language Processing API is one of 21 APIs that Hugging Face publishes on the APIs.io network, described by a machine-readable OpenAPI specification.

Tagged areas include Natural Language Processing. The published artifact set on APIs.io includes an OpenAPI specification, API documentation, authentication docs, a getting-started guide, rate-limit docs, and pricing.

This API exposes 11 operations across 11 paths, and defines 20 schemas. It is described by OpenAPI 3.2.0, at version 1.0.0.

Requests are made against a single base URL, https://api-inference.huggingface.co.

11 operations 11 paths 20 schemas 11 POST

Metadata

The identity and technical contract details declared by the specification.

Specification
OpenAPI 3.2.0
API Version
1.0.0
Base URL
https://api-inference.huggingface.co
Authentication
HTTP Bearer
Contact
Hugging Face Support
License
Apache 2.0
Terms of Service
View terms
Resource Areas
1

Authentication & Security 1

Hugging Face Natural Language Processing API declares 1 security scheme for authenticating requests. It accepts HTTP bearer tokens (HF Token) (bearerAuth). By default, every request must be authenticated.

  • bearerAuth — Hugging Face API token. Generate one from https://huggingface.co/settings/tokens

Paths & Operations 11

Across 11 paths, the API surfaces 11 operations — 11 POST. Each is listed below with its method, path, parameters, and response codes.

Natural Language Processing 11

NLP tasks including text generation, classification, and translation

POST
/models/{model_id}
Run Inference on a Model
runInference 1 param body → 200400401403404429503
POST
/pipeline/{task}
Run Inference by Task Pipeline
runPipelineInference 1 param body → 200400429
POST
/models/{model_id}/text-generation
Text Generation Inference
textGeneration 1 param body → 200400503
POST
/models/{model_id}/text-classification
Text Classification Inference
textClassification 1 param body → 200
POST
/models/{model_id}/question-answering
Question Answering Inference
questionAnswering 1 param body → 200
POST
/models/{model_id}/summarization
Text Summarization Inference
summarization 1 param body → 200
POST
/models/{model_id}/translation
Translation Inference
translation 1 param body → 200
POST
/models/{model_id}/fill-mask
Fill Mask Inference
fillMask 1 param body → 200
POST
/models/{model_id}/feature-extraction
Feature Extraction Inference
featureExtraction 1 param body → 200
POST
/models/{model_id}/zero-shot-classification
Zero-shot Classification Inference
zeroShotClassification 1 param body → 200
POST
/models/{model_id}/sentence-similarity
Sentence Similarity Inference
sentenceSimilarity 1 param body → 200

Schemas 20

The contract defines 20 schemas that model the data the API accepts and returns. The most detailed are QuestionAnsweringResponse (4 properties), FillMaskResponse (4 properties), TextGenerationRequest (3 properties), ZeroShotClassificationResponse (3 properties). Each schema is shown below with its type and property counts.

QuestionAnsweringRequest
object
1 property 1 required
SentenceSimilarityRequest
object
1 property 1 required
SummarizationRequest
object
2 properties 1 required
ZeroShotClassificationResponse
object
3 properties
FillMaskRequest
object
1 property 1 required
TextGenerationResponse
object
1 property
Error
object
2 properties
TranslationResponse
object
1 property
TextClassificationRequest
object
1 property 1 required
FillMaskResponse
object
4 properties
FeatureExtractionRequest
object
1 property 1 required
ClassificationResult
object
2 properties
InferenceRequest
object
3 properties 1 required
TextGenerationRequest
object
3 properties 1 required
ZeroShotClassificationRequest
object
2 properties 2 required
TranslationRequest
object
1 property 1 required
InferenceResponse
The inference result - format depends on the task
QuestionAnsweringResponse
object
4 properties
ModelLoadingResponse
object
2 properties
SummarizationResponse
object
1 property

Specification

The full machine-readable OpenAPI contract behind this narrative.

Source

hugging-face-natural-language-processing-api-openapi.yml Raw ↑

Other APIs Hugging Face publishes across the network.

Hugging Face Audio API
AE Profile APIs.io
Hugging Face Chat API
AE Profile APIs.io
Hugging Face Chat Completions API
AE Profile APIs.io
Hugging Face Computer Vision API
AE Profile APIs.io
Hugging Face Data Access API
AE Profile APIs.io
Hugging Face Dataset Info API
AE Profile APIs.io
Hugging Face Datasets API
AE Profile APIs.io
Hugging Face Embeddings API
AE Profile APIs.io
Hugging Face Endpoints API
AE Profile APIs.io
Hugging Face Files & Metadata API
AE Profile APIs.io
Hugging Face Image Generation API
AE Profile APIs.io
Hugging Face Info API
AE Profile APIs.io
#Natural Language Processing
← Back to H APIs
API Details
ID
hugging-face:hugging-face-natural-language-processing-api
Base URL
https://api-inference.huggingface.co
Docs
https://huggingface.co/docs/api-inference/index
Provider
Hugging Face
APIs.io →  GitHub →
Explore more
All APIs Providers APIs.io Network
Work with this as data

Every API here is available over the API and to AI agents over MCP. APIs is not yet its own endpoint on the v1 API. Reach this content through network search and the tag graph, or the MCP server below.

Installs https://mcp.apievangelist.com/mcp in Claude, Cursor, VS Code and the rest — one button, every client.

MCP tools for apis
4 tools reach this content
  • search_api_evangelistSearch every content type across the network at once.
  • find_relatedThe shared-tag relevance graph — what else covers this.
  • get_tagEverything one tag labels, across all content types.
  • guide_topicPRO — a curated bundle for a topic: area, guidance, rules, papers, stories, services.
All tools & prompts
Call it yourself
curl for this page
Search the network for this 
curl "https://api.apievangelist.com/v1/search?q=hugging-face-natural-language-processing-api&limit=10"
Everything under a tag 
curl "https://api.apievangelist.com/v1/tags/hugging-face-natural-language-processing-api"

Discovery needs no key. Full bodies and the synthesis endpoints are Pro.

Get an API key

Free tier, no email required. Sign in with whichever identity you already have.

GitHub Google LinkedIn

A second provider on the same verified email joins the account you already have. Your account

Where this information came from

This is an independent, third-party profile of Hugging Face Natural Language Processing API, 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.

info@apievangelist.com · Read the full data-sourcing policy →
On a security or compliance team? Put security in the subject line and you will get a person, not a form — we will tell you exactly which public URLs this profile was built from.