What is transformers?
transformers is a pypi that 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.. It has a Nerq Trust Score of 81/100 (A-). 0 GitHub stars. Published by The Hugging Face team (past and future) with the help of all our contributors (https://github.com/huggingface/transformers/graphs/contributors). Last analyzed March 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 0 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
What transformers Does
transformers is a pypi in the pypi category. 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.. It is published by The Hugging Face team (past and future) with the help of all our contributors (https://github.com/huggingface/transformers/graphs/contributors) and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use transformers
transformers is well-suited for production use given its strong trust score and active community.
Details
| Author | The Hugging Face team (past and future) with the help of all our contributors (https://github.com/huggingface/transformers/graphs/contributors) |
|---|---|
| Category | pypi |
| License | Not specified |
| Type | pypi |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 0/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=transformers
Setup guide · Full safety report · Production review · Is it safe?
Frequently Asked Questions
Last updated March 2026. Trust scores based on automated analysis of public data.