Hugging Face

Hugging Face Tutorial

Hugging Face is the largest open-source platform for AI models, datasets, and tools. It’s home to thousands of pre-trained models covering NLP, computer vision, speech recognition, and more. Developers, researchers, and companies use Hugging Face to build and deploy AI applications at scale.

Make Money With This 💰

• Offer freelance AI services building apps with Hugging Face models.

• Use Spaces to create and monetise demos with sponsorships or donations.

• Build SaaS apps powered by Hugging Face models and charge subscriptions.

• Create courses/tutorials on Transformers and sell on Gumroad/Udemy.

Use Cases

• Developers → deploy LLMs, vision models, and custom pipelines.

• Researchers → fine-tune and share models with community datasets.

• Startups → prototype AI apps without training models from scratch.

• Businesses → production-ready AI via managed endpoints.

Key Features

• Model Hub → 350k+ models across AI domains.

• Datasets Hub → 100k+ open datasets.

• Transformers Library → industry-standard Python toolkit.

• Spaces → host and share AI demos with Gradio or Streamlit.

• Inference Endpoints → deploy models with scalable cloud hosting.

Getting Started

Step 1: Go to Hugging Face and create a free account.

Step 2: Browse the Model Hub to find a model (e.g., BERT, Stable Diffusion, Whisper).

Step 3: Use the web interface to test models instantly.

Step 4: For developers: enter the command pip install transformer and load a model in Python.

Step 5: For production apps, use Inference Endpoints to deploy models.

Example Prompt

Type:

from transformers import pipeline

classifier = pipeline("sentiment-analysis")

result = classifier("I love AgentPrompt, it makes AI easy to learn!")

print(result)

What you’ll see: [{'label': 'POSITIVE', 'score': 0.999}]

Tool Snapshot: Pros & Cautions

Best if: you’re a developer, researcher, or startup needing state-of-the-art models fast.

Not ideal if: you’re a complete beginner with no coding background (steeper learning curve).

Pricing Snapshot

• Free Tier → access models & datasets.

• Pro Plan → $9/month (extra compute + private repos).

• Inference Endpoints → pay-per-use, starting ~$0.06/hour for models.

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