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transformers

huggingface/transformers

🤗 Transformers: state-of-the-art machine learning models for text, vision, audio, and multimodal models

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GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

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166k stars35k forksLast push Sep 18, 2026 Python Apache-2.0

Decision brief

Transformers is a Python library that supports state-of-the-art machine learning models for text, vision, audio, and multimodal tasks, offering both training and inference capabilities.

Good fit when

When you need a comprehensive library that supports a wide range of tasks including text, vision, audio, and multimodal models.
If you are working with PyTorch 2.5+ and Python 3.10+, as these are the required versions for the library to function.

Avoid when

If your project requires a different deep learning framework that is not PyTorch, as Transformers is tightly integrated with PyTorch.
When you are working with Python versions older than 3.10, as the library does not support earlier versions.

Requirements:: Min 4 GB RAM; Ensure you have Python 3.10+ and PyTorch 2.5+ installed.; Consider using a virtual environment for isolated package management.

Observed Sep 18, 2026 · Source: enrich:decision_facts

transformers alternatives Trust report

transformers vs LLMs-from-scratch transformers vs llama_index

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Maintenance and security

Full trust report

Maintenance: Very active (0d since push); As of Sep 18, 2026
Provenance: Not a fork · Organization account; As of Sep 18, 2026
Security (OSV): No lockfile; As of Sep 18, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Backing

Company context for Hugging Face. Display-only - separate from trust and ranking.

Company: Hugging Face·GitHub org profile·Jul 11, 2026
Employees: 160·Wikidata (P1128 employees)·Jul 11, 2026
Funding: $235,000,000 (2023-08)·GraphCanon curated seed (public press)·Jul 11, 2026
Commercial model: OSS + managed cloud·GraphCanon curated seed·Jul 11, 2026

Install

pip install transformers

PyPI

How it fits your stack(125)

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

🤗 Transformers is a Python library for state-of-the-art machine learning models in text, vision, audio, and multimodal models, supporting both inference and training.

Capability facts

Languages: python
Source: github.language+pyproject.toml · Sep 18, 2026

Graph entities

Smolagentsframework Hugging Facecompany

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Sep 18, 2026)

Transformers works with Python 3.10+, and [PyTorch](https://pytorch.org/get-started/locally/) 2.5+.

Source link

README

Installation Transformers works with Python 3.10+, and PyTorch 2.5+. Create and activate a virtual environment with venv or uv, a fast Rust based Python package and project manager. ```py

For agents

This page has a .md twin and JSON over the API.

/tools/huggingface-transformers.md GET /api/graphcanon/tools/huggingface-transformers GET /api/graphcanon/graph?tool=huggingface-transformers