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. Last analyzed March 2026.
Trust & Safety
72
TRUST SCORE
B
GRADE
156.8K
STARS
0
DOWNLOADS
Details
| Author | Unknown |
|---|---|
| Category | AI framework |
| License | Not specified |
| Type | tool |
| Source | View on GitHub |
How to Get Started
curl nerq.ai/v1/preflight?target=huggingface-transformers
Setup guide · Full safety report
Alternatives
| Tool | Trust | Stars |
|---|---|---|
| tensorflow | 72 | 193.9K |
| pytorch | 72 | 97.6K |
| opencv | 72 | 86.2K |
| models | 72 | 77.7K |
Frequently Asked Questions
What is transformers used for?
transformers is a AI framework tool. 🤗 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. .
Is transformers free?
License: Check project page. transformers has 156.8K GitHub stars.
Is transformers safe?
transformers has a Nerq Trust Score of 72/100 (B). Safe for production use.
What are alternatives to transformers?
Top alternatives: tensorflow, pytorch, opencv. See full comparison.
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Last updated March 2026. Trust scores based on automated analysis of public data.