Welcome to the quickstart guide for Hugging Face, the leading platform for open-source machine learning models. This guide will help you get started with using Hugging Face's resources and tools.

Getting Started

  1. Create an Account: Sign up for a Hugging Face account.
  2. Install Transformers: Use the following command to install the Transformers library:
    pip install transformers
  3. Explore Models: Once installed, you can explore and use a wide range of pre-trained models.

Key Features

  • Pre-trained Models: Access a vast collection of pre-trained models for various tasks like text classification, translation, and more.
  • Custom Models: Build and train your own models using the Hugging Face platform.
  • Documentation: Detailed documentation for all models and tools.

Example

Here's a simple example of using a pre-trained model for text classification:

from transformers import pipeline

# Load the model and tokenizer
classifier = pipeline("text-classification")

# Classify a text
result = classifier("This is a sample text.")
print(result)

For more detailed examples and tutorials, check out the Transformers repository on GitHub.

Learn More

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