Welcome to the Hugging Face API documentation! Here, you'll find essential tools and models for natural language processing (NLP) and other machine learning tasks. 🚀

Key Features 🌟

  • Pre-trained Models: Access over 100,000 models for tasks like text classification, summarization, and more.
    Pre-trained Models
  • Model Hub: Explore and share models directly from the Hugging Face website.
    Model Hub
  • Inference API: Deploy models as REST endpoints for easy integration.
    Inference API

Getting Started 📚

  1. Install the SDK: 
    pip install transformers
  2. Load a Model: 
    from transformers import pipeline
classifier = pipeline("text-classification", model="bert-base-uncased")
  3. Use the Inference API:
    Visit /en/resources/ml/huggingface/inference for detailed guides on deploying models.

Popular Models 🔍

  • BERT: For contextual embeddings and fine-tuning.
  • GPT-2: For text generation and language modeling.
  • T5: For text-to-text tasks like translation.

For more tutorials and examples, check out our Machine Learning Resources. 🌐