Creating a HuggingFace API Key

Access thousands of state-of-the-art AI models through HuggingFace’s comprehensive platform.

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Step-by-Step Guide

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Step 1: Navigate to HuggingFace

Go to https://huggingface.co in your web browser.

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Step 2: Sign In or Create Account

New User:

• Click “Sign Up” in the top right corner
• Create account with email or use GitHub/Google login
• Complete email verification process

Existing User:

• Click “Log In” and enter your credentials

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Step 3: Access Your Profile

Click on your profile icon in the top right corner of the page after logging in.

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Step 4: Navigate to Access Tokens

In the dropdown menu, click “Access Tokens” (located just below “Settings”).

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Step 5: Create New Token

Click “Create new token” to start the token generation process.

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Step 6: Choose Token Type

Select the appropriate token type for your needs:

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Token Types Comparison

Token Type	Access Level	Best For	Permissions
Read	Read-only access	Weam integration, model inference	View public repositories and models
Write	Read and write access	Model development, uploads	Modify repositories, upload models
Fine-grained	Custom permissions	Enterprise, specific needs	Granular control over features

For Weam Integration: Choose “Read” token

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Step 7: Configure Token Settings

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For Read Token (Recommended for Weam):

1. Enter a descriptive token name:
   • Weam Integration
   • Production API Access
   • Development Testing
2. Click “Create token”

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For Fine-grained Tokens (Advanced):

Configure specific permissions:

• Repositories: Access to specific model repositories
• Inference: Model inference capabilities
• Webhooks: Event notifications
• Billing: Account billing access
• Organizations: Team-level permissions

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Step 8: Create Your Token

Click “Create token” after configuring all settings.

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Step 9: Secure Your Token

1. Copy immediately: Your token is displayed only once
2. Store securely: Save in password manager or secure environment
3. Never share publicly: Keep confidential and secure
4. Monitor usage: Check usage in your dashboard regularly

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Step 10: Add to Weam

Integrate your HuggingFace token with Weam:

1. Open Weam and go to Settings → Configurations
2. Select HuggingFace as your provider
3. Paste your token in the configuration field
4. Save and test with an open-source model

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Token Management Dashboard

After creation, manage all your tokens from the centralized dashboard:

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Dashboard Features

• Token Overview: View all active tokens
• Usage Monitoring: Track API usage per token
• Security Management: Revoke or regenerate tokens
• Permission Review: Audit token permissions

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Account Settings Overview

HuggingFace provides comprehensive account management:

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Key Settings Sections

Section	Purpose
Profile	Personal information and public profile
Account	Basic account settings and preferences
Authentication	Two-factor auth and security settings
Organizations	Team collaboration and shared resources
Billing	Subscription plans and payment methods
Access Tokens	API token management
Inference Providers	Third-party deployment configurations
Notifications	Email and web notification preferences

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HuggingFace Platform Capabilities (2025)

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Model Ecosystem

60,000+ Models Available:

• Language Models: BERT, GPT variants, T5, RoBERTa, specialized LLMs
• Image Generation: Stable Diffusion, DALL-E variants, artistic models
• Computer Vision: Object detection, classification, image analysis
• Audio Processing: Speech recognition, text-to-speech, music generation
• Multimodal: Text + image, audio + vision combinations

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Serverless Inference API

Production-Ready Deployment:

• Pay-as-you-go: Only pay for actual compute usage
• Auto-scaling: Handles traffic spikes automatically
• Global availability: Fast inference worldwide
• Enterprise security: Private endpoints and VPC integration

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Popular Model Categories

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Text Processing

• Conversational AI: ChatGPT alternatives, dialogue models
• Text Generation: Creative writing, code generation, summarization
• Classification: Sentiment analysis, content moderation
• Translation: Multi-language translation models

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Image & Vision

• Image Generation: Create art, photos, illustrations
• Image Analysis: Object detection, scene understanding
• Image Editing: Style transfer, enhancement, manipulation
• OCR & Document: Text extraction, document analysis

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Audio & Speech

• Speech Recognition: Convert speech to text
• Text-to-Speech: Generate natural-sounding speech
• Music Generation: Create music and audio effects
• Audio Classification: Sound recognition and analysis

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Integration Options

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Programming Languages

• Python: transformers, huggingface_hub, diffusers
• JavaScript: @huggingface/inference, web-based applications
• cURL: Direct REST API calls for any language
• Gradio: Build interactive demos and UIs

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Frameworks & Tools

• Transformers: Most popular library for NLP models
• Diffusers: Specialized for image generation models
• Datasets: Access and process datasets
• Accelerate: Optimize model training and inference

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