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transformers

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

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What is it?

What it is

Copyright 2020 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License");

Why it exists

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Who should use it

Teams building with Python who want an open-source, self-hosted option.

Who should avoid it

Teams that need a fully managed SaaS with enterprise SLAs out of the box.

How it works

A quick walkthrough in plain English

How transformers works

Step 1 of 3

You interact with it

Open transformers, send a request, or connect it to your stack.

Features

Audio
Deep Learning
Deepseek
Gemma
Glm
Hacktoberfest

Advantages

  • Open source (Apache-2.0)
  • Active Python ecosystem
  • Self-hosted deployment options

Disadvantages

  • Requires operational ownership for self-hosted setups
  • Community support varies by project maturity

Installation

native

Install Transformers in your virtual environment.

FAQ

What is transformers?

transformers is an open-source project licensed under Apache-2.0.

What language is transformers built with?

Primary language: Python.

Is it free to use?

Yes. Licensed under Apache-2.0. Check the license for commercial use.

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