What is transformers?
transformers is a AI framework 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 72/100 (B). 156.8K GitHub stars. Published by Unknown. Last analyzed March 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ✅ Community: 156.8K stars, 0 downloads — Large community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
What transformers Does
transformers is a tool in the AI framework 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 an independent developer and has no specified license. With 156.8K GitHub stars and 0 downloads, it has a large and active 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 | Unknown |
|---|---|
| Category | AI framework |
| License | Not specified |
| Type | tool |
| 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=huggingface-transformers
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| tensorflow | 72 | 193.9K |
| pytorch | 72 | 97.6K |
| opencv | 72 | 86.2K |
| models | 72 | 77.7K |
Frequently Asked Questions
Last updated March 2026. Trust scores based on automated analysis of public data.