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Hugging Face Inference API

The Hugging Face Inference API provides developers free access to machine learning models for various NLP and computer vision tasks, suitable for integrating AI features into applications.

Developed by Hugging Face

99.95%Uptime
350msLatency
21kStars
API KeyAuth
NoCredit Card
RESTStyle
v1Version
API Endpoints

Reference for available routes, request structures, and live examples.

Run inference on Hugging Face models

Full Endpoint URL
https://api-inference.huggingface.co/models/{model_id}
Implementation Example
curl -X POST 'https://api-inference.huggingface.co/models/{model_id}' \
  -H 'Authorization: Bearer YOUR_API_KEY'
Request Payload
{
  "inputs": "Hello world",
  "model_id": "bert-base-uncased"
}
Expected Response
{
  "output": [
    {
      "label": "POSITIVE",
      "score": 0.999
    }
  ]
}
Version:v1
Limit:Limited free tier
Real-World Applications
  • Chatbot development with natural conversationOptimized Capability
  • Automated content generation toolsOptimized Capability
  • Real-time sentiment analysis dashboardsOptimized Capability
  • Image classification in appsOptimized Capability
  • Language translation featuresOptimized Capability
  • Question answering botsOptimized Capability
Advantages
  • No model hosting or maintenance required
  • Access to thousands of top machine learning models
  • Fast integration with simple HTTP requests
  • Scalable with enterprise-grade infrastructure
Limitations
  • Latency depends on model complexity and queue
  • Free tier has limited requests per minute
  • Requests may fail if specific models are overloaded
  • Potential privacy concerns for sensitive data sent to third-party APIs

FAQs

API Specifications

v1
Pricing Model
Usage-based (per compute minute or model run)
Credit Card
Not Required
Response Formats
JSON
Supported Languages
6 Languages
SDK Support
Python, JavaScript
Time to Hello World

Under 10 minutes

Rate Limit

30 requests/minute (free tier), higher for paid

Free Tier Usage

30 requests per minute and up to 500 compute minutes/month

Use Case: Best For

Developers who want instant production-ready access to advanced ML models without infrastructure setup

Not Recommended For

Workloads requiring strict zero-data externalization or extremely high-frequency real-time inference

#ai#nlp#ml

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