transformers
Latest Version: v5.2.0huggingface/transformers is auto-discovered from GitHub Search activity signals. Python repository. Current repository metrics include 156814 stars, 32157 fork...
Owner: huggingface
Stars
156.8k
GitHub star count
Last Release
1 months ago
v5.2.0
Contributors
100
N/A
Health Score
N/A
N/A
Key Features
audio
deep learning
deepseek
gemma
glm
Tech Stack
About
huggingface/transformers is auto-discovered from GitHub Search activity signals. Python repository. Current repository metrics include 156814 stars, 32157 fork...
huggingface/transformers is auto-discovered from GitHub Search activity signals. Python repository. Current repository metrics include 156814 stars, 32157 forks, and 2288 open issues. Topics: audio, deep-learning, deepseek, gemma, glm. Matched search heuristics: stars:>=150 pushed:>=2026-02-08 archived:false fork:false mirror:false. Metadata is enriched asynchronously by the refresh pipeline.
Analyst Note
Hugging Face Transformers v5.2.0 adds GLM-5, Qwen3.5, Voxtral Realtime, and VibeVoice Acoustic Tokenizer with major architectural updates and breaking changes.
Best For
- Technical stack evaluation for engineering teams
- Dependency governance and upgrade planning in production systems
- Track delivery cadence and release quality from huggingface
- audio
Not Ideal For
- Large open issue backlog.
Typical Use Cases
Decision Snapshot
- Product type: Open Source
- Primary language: Python
- Pricing model: Free
- License: Apache-2.0
- Last Release: 2/16/2026
Data Basis
- Last Sync: Feb 22, 2026, 03:23 PM
- Metrics Updated: Feb 22, 2026, 03:23 PM
- Completeness: 100%
- Last Verified: Feb 22, 2026, 03:23 PM
Data Status
Pros & Cons
Pros
- Strong community adoption.
- Broad maintainer participation.
- Active maintenance cadence.
Cons
- -Large open issue backlog.