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.
Star History
Momentum
+4.2K
STARS ยท LAST 30 DAYS
139
PER DAY
#8
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +973 | +4.2K | +12.5K |
| Per day | 139 | 139 | 139 |
| Forks gained | +173 | +694 | +1.7K |
transformers gained 4.2K stars in the last 30 days, about 139 a day, and now has 166.7K. It is about 8 years old and has averaged roughly 20.8K stars a year. It ranks #8 among Python repositories and #33 across all languages on GitHubRepo.
Trending Record
6
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 #33 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #28 | firecrawl/firecrawl | TypeScript | โ 185.7K | Compare โ |
| #29 | ollama/ollama | Go | โ 181.8K | Compare โ |
| #30 | flutter/flutter | Dart | โ 179.1K | Compare โ |
| #31 | github/gitignore | โ | โ 176K | Compare โ |
| #32 | twbs/bootstrap | MDX | โ 174.9K | Compare โ |
| #33 | huggingface/transformers This Project | Python | โ 166.7K | |
| #34 | AUTOMATIC1111/stable-diffusion-webui | Python | โ 165.1K | Compare โ |
| #35 | langflow-ai/langflow | Python | โ 155.3K | Compare โ |
| #36 | clash-verge-rev/clash-verge-rev | Rust | โ 147.6K | Compare โ |
| #37 | langchain-ai/langchain | Python | โ 147.2K | Compare โ |
| #38 | DietrichGebert/ponytail | JavaScript | โ 146.9K | 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.
What language is transformers written in? +
The primary language is Python. Topics include: audio, deep-learning, deepseek, gemma, glm.
Is transformers actively maintained? +
Yes, the last recorded push was on Sep 27, 2026 with 2,388 open issues being tracked.
How many stars does transformers have? +
transformers has 166,717 stars and 34,691 forks on GitHub.
How does transformers rank among GitHub repositories? +
With 166,717 stars, huggingface/transformers is ranked #33 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.
