transformers
Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models
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Decision brief
Transformers is a versatile library for training and deploying state-of-the-art models across various domains such as NLP, computer vision, speech recognition, and multi-modal tasks. It supports PyTorch 2.4+ and Python 3
Good fit when
- The library excels in scenarios where you need highly optimized and pre-trained models available for a wide range of data types including text, vision, audio, and multimodal inputs.
- It is ideal if your project requires seamless integration with PyTorch framework and needs to leverage the most recent advancements in deep learning algorithms.
Avoid when
- If the specific task or dataset size does not benefit from state-of-the-art models due to computational inefficiency or overfitting, alternatives may be more suitable.
- It might not be the best choice for projects that strictly require compatibility with frameworks other than PyTorch and Python versions older than 3.10.
- Requirements:
- Min 4 GB RAM; Works with Python 3.10+ and PyTorch 2.4+
Observed Jul 11, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
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- Provenance
- Not a fork · Organization account
- As of 5d
- Security (OSV)
- No lockfile
- As of 1mo
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Backing
Company context for Hugging Face. Display-only - separate from trust and ranking.
- Company
- Hugging Face·GitHub org profile·1mo
- Employees
- 160·Wikidata (P1128 employees)·1mo
- Funding
- $235,000,000 (2023-08)·GraphCanon curated seed (public press)·1mo
- Commercial model
- OSS + managed cloud·GraphCanon curated seed·1mo
Install
pip install transformersHow it fits your stack(125)
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Overview
🤗 Transformers is a Python library providing tools and models for training and using state-of-the-art machine learning models across various domains including natural language processing (NLP), computer vision, speech recognition, and other multidomain applications.
Capability facts
- Languages
- python
Source: github.language+pyproject.toml · Aug 16, 2026
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Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 16, 2026)
Transformers works with Python 3.10+, and [PyTorch](https://pytorch.org/get-started/locally/) 2.5+.Source link
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For agents
This page has a .md twin and JSON over the API.