huggingface/transformers
๐ค 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.
โก Executive Summary & Quick Facts
Authoritative Sourcetransformers is transformers is an open-source project written in Python: ๐ค 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. ..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), huggingface/transformers has accumulated 168,723 GitHub stars and 35,149 forks. It is written in Python, licensed under Apache-2.0, and ranks #36 globally. It is actively maintained with the latest commit recorded on Nov 10, 2026.”
| Repository | huggingface/transformers โ |
|---|---|
| Primary Category | audio |
| Language & Stack | Python |
| Software License | Apache-2.0 |
| Community Traction | โ 168.7K stars ยท โ 35.1K forks ยท #36 globally |
| Maintenance | โ Active (Last commit: Nov 10, 2026) ยท 1,075 open issues |
| Target Audience | Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads. |
๐ก๏ธ Repository Maintenance & Health Audit (2026)
Health Score: 90/100 ยท Grade AYes, transformers is actively maintained. Continuous telemetry recorded the last code commit on Nov 10, 2026 (2 days ago). Supported by 168,723 stars and 35,149 community forks, this repository holds a calculated health index of 90/100, reflecting very active (commits within last 14 days) and high open issue volume (1,075 open).
Star History
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+1.7K
STARS ยท LAST 30 DAYS
57
PER DAY
#8
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +1K | +1.7K | +5.1K |
| Per day | 144 | 57 | 57 |
| Forks gained | +269 | +388 | +1.8K |
transformers gained 1.7K stars in the last 30 days, about 57 a day, and now has 168.7K. It is about 8 years old and has averaged roughly 21.1K stars a year. It ranks #8 among Python repositories and #36 across all languages on GitHubRepo.
Trending Record
45
DAYS ON TRENDING
#33
BEST RANK
Sep 23, 2026
FIRST APPEARANCE
Active
STATUS TODAY
transformers has maintained a continuous presence across global trending indexes, peaking at #33. Below is the 30-day activity profile:
๐ก Overview
transformers is an open-source project written in Python: ๐ค 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. .
Engineered for speed, consistency, and developer ease, it solves common hurdles in audio, deep-learning, deepseek. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
โก Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
๐ฅ Installation
$ pip install transformersโ System Requirements
Platforms
- โข macOS
- โข Linux
- โข Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
๐ง How It Works
transformers coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
๐ฏ Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with transformers.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
๐ Getting Started
Install transformers using your package manager: `pip install transformers`
Initialize your project workspace or configuration file for transformers.
Import transformers into your codebase or invoke it directly from your terminal.
Execute your test suite or run `transformers --help` to verify successful setup.
๐ Strengths
โ ๏ธ Considerations
โ Alternatives & Direct Competitors
๐ฅ Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
๐ Nearby in the Rankings
huggingface/transformers is currently ranked #36 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #31 | ollama/ollama | Go | โ 186.6K | Compare โ |
| #32 | DietrichGebert/ponytail | JavaScript | โ 181.3K | Compare โ |
| #33 | flutter/flutter | Dart | โ 181K | Compare โ |
| #34 | github/gitignore | โ | โ 176.1K | Compare โ |
| #35 | twbs/bootstrap | MDX | โ 175K | Compare โ |
| #36 | huggingface/transformers This Project | Python | โ 168.7K | |
| #37 | AUTOMATIC1111/stable-diffusion-webui | Python | โ 165.2K | Compare โ |
| #38 | msitarzewski/agency-agents | Shell | โ 158.2K | Compare โ |
| #39 | langflow-ai/langflow | Python | โ 155.9K | Compare โ |
| #40 | clash-verge-rev/clash-verge-rev | Rust | โ 152.8K | Compare โ |
| #41 | farion1231/cc-switch | Rust | โ 151.2K | Compare โ |
Frequently Asked Questions
What does transformers do? +
๐ค 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 actively maintained in 2026? +
Yes, transformers is actively maintained. The latest code push was recorded on Nov 10, 2026 (2 days ago). It holds a calculated Maintenance Health Score of 90/100 (A rating) with 168,723 stars and 1,075 open issues.
What language is transformers written in? +
The primary language is Python. Topics include: audio, deep-learning, deepseek, gemma, glm.
How many stars does transformers have? +
transformers has 168,723 stars and 35,149 forks on GitHub.
How does transformers rank among GitHub repositories? +
With 168,723 stars, huggingface/transformers is ranked #36 globally across all repositories tracked on GitHubRepo and #8 among Python projects.
What license is transformers distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
