Technology · Library

Transformers

Library · Hugging Face · Catalog tech@1

Hugging Face's library of pretrained models.

Matched as
  • hugging face transformers
  • transformers

Momentum

Each signal is ranked as a percentile among the technologies that have it. A signal without enough history is not counted, and never shown as zero. How momentum works

Momentum

Collecting0 of 5 signals

No score yet. Momentum is published only when at least 2 of the 5 signals have history. Transformers has 0, so there is no single number: each signal is shown on its own below. It is not a zero, and nothing is estimated in its place.

Snapshot OCT 24, 2026 · Scoring tech@1

Official repository stars
Collecting
Star growth needs repository snapshots 30 days apart.166,907 stars now
Member repository stars
Collecting
Star growth needs repository snapshots 30 days apart.0 new members in 30 days
Package adoption
Not published by its registries
Its packages’ registries publish no adoption figure, so there is nothing to grow.
Open models
No official models
No official model on Hugging Face, so this signal does not apply.
News
Collecting
News counts once there are 3 events across the last 60 days; it has 1.0 in the last 30 days · 1 in the 30 before

Adoption by registry

The growth of Transformers’s own packages, one row per registry in that registry’s own unit. Registries count different things over different windows, so they are never added together.

No registry has two observations of Transformers’s own packages about 30 days apart yet, so there is no growth to show. Nothing is estimated in its place.

News activity

Events · 7 days
0published events that mention it
Events · 30 days
0published events that mention it
Previous 30 days
1events in the 30 days before

Momentum history

Momentum history starts OCT 8, 2026. A chart appears once two daily snapshots carry a score; none does so far.

Repositories

Official 1

  • huggingface/transformers

    🤗 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.

    Official repositoryPython

    166.9K stars

Members 140repositories tagged with one of its aliases, most-starred first

  • SwanHubX/SwanLab

    ⚡️SwanLab - an open-source, modern-design AI training tracking and visualization tool. Supports Cloud / Self-hosted use. Integrated with PyTorch / Transformers / verl / LLaMA Factory / ms-swift / Ultralytics / MMEngine / Keras etc.

    Tagged transformersPython

    4.2K stars

  • JohnSnowLabs/spark-nlp

    State of the Art Natural Language Processing

    Tagged transformersScala

    4.2K stars

  • IDEA-CCNL/Fengshenbang-LM

    Fengshenbang-LM(封神榜大模型)是IDEA研究院认知计算与自然语言研究中心主导的大模型开源体系,成为中文AIGC和认知智能的基础设施。

    Tagged transformersPython

    4.1K stars

  • yuanzhoulvpi2017/zero_nlp

    中文nlp解决方案(大模型、数据、模型、训练、推理)

    Tagged huggingface-transformersJupyter Notebook

    3.8K stars

  • google-research/scenic

    Scenic: A Jax Library for Computer Vision Research and Beyond

    Tagged transformersPython

    3.8K stars

  • predibase/lorax

    Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs

    Tagged transformersPython

    3.8K stars

  • 0hq/WebGPT

    Run GPT model on the browser with WebGPU. An implementation of GPT inference in less than ~1500 lines of vanilla Javascript.

    Tagged transformersJavaScript

    3.8K stars

  • christianversloot/machine-learning-articles

    🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

    Tagged huggingface-transformers

    3.7K stars

  • fnnx-ai/scikit-llm

    Seamlessly integrate LLMs into scikit-learn.

    Tagged transformersPython

    3.5K stars

  • huggingface/optimum

    🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools

    Tagged transformersPython

    3.5K stars

  • VainF/Torch-Pruning

    [CVPR 2023] DepGraph: Towards Any Structural Pruning; LLMs, Vision Foundation Models, etc.

    Tagged transformersPython

    3.4K stars

  • xenova/whisper-web

    ML-powered speech recognition directly in your browser

    Tagged transformersTypeScript

    3.3K stars

Packages

“Is” packages are Transformers itself; ecosystem packages depend on them. The two are counted separately and never added together. Adoption is each registry’s own figure, with its percentile within that registry.

Is 11the technology itself, most-adopted first

  • divyanx-transformers

    State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow

    Published from huggingface/transformersPyPI

    Not published by PyPI
  • mcwtransformers

    State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow

    Published from huggingface/transformersPyPI

    Not published by PyPI
  • my-transformers

    State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow

    Published from huggingface/transformersPyPI

    Not published by PyPI
  • rlinf-transformer-openpi

    State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow

    Published from huggingface/transformersPyPI

    Not published by PyPI
  • t-draft-123

    State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow

    Published from huggingface/transformersPyPI

    Not published by PyPI
  • transformers

    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.

    Listed in the catalogPyPI

    Not published by PyPI
  • transformers-kt

    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.

    Published from huggingface/transformersPyPI

    Not published by PyPI
  • transformers-mcw

    State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow

    Published from huggingface/transformersPyPI

    Not published by PyPI
  • transformers-openpi

    State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow

    Published from huggingface/transformersPyPI

    Not published by PyPI
  • transformers-qwenomni

    Transformers: With code for Qwen 2.5 Omni

    Published from huggingface/transformersPyPI

    Not published by PyPI
  • transformers-usf-om-vl-exp-v0

    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.

    Published from huggingface/transformersPyPI

    Not published by PyPI

Ecosystem 279packages that depend on it, most-adopted first

  • vllm-tpu

    A high-throughput and memory-efficient inference and serving engine for LLMs

    Depends on transformersPyPI

    Not published by PyPI
  • vllm-xft

    A high-throughput and memory-efficient inference and serving engine for LLMs

    Depends on transformersPyPI

    Not published by PyPI
  • voxcpm

    VoxCPM: Tokenizer-Free TTS for Context-Aware Speech Generation and True-to-Life Voice Cloning

    Depends on transformersPyPI

    Not published by PyPI
  • wan22

    Wan: Open and Advanced Large-Scale Video Generative Models

    Depends on transformersPyPI

    Not published by PyPI
  • wfgy-sdk

    WFGY 1.0 • Self-Healing LLM Framework SDK

    Depends on transformersPyPI

    Not published by PyPI
  • whisperx

    Time-Accurate Automatic Speech Recognition using Whisper.

    Depends on transformersPyPI

    Not published by PyPI
  • whisperx-fix

    Time-Accurate Automatic Speech Recognition using Whisper.

    Depends on transformersPyPI

    Not published by PyPI
  • wicky-vllm

    a lightweight vLLM implementation built from scratch

    Depends on transformersPyPI

    Not published by PyPI
  • wtpsplit

    Universal Robust, Efficient and Adaptable Sentence Segmentation

    Depends on transformersPyPI

    Not published by PyPI
  • wtpsplit-triton

    Universal Robust, Efficient and Adaptable Sentence Segmentation with NVIDIA Triton Support

    Depends on transformersPyPI

    Not published by PyPI
  • xgrammar

    Efficient, Flexible and Portable Structured Generation

    Depends on transformersPyPI

    Not published by PyPI
  • xh-pdf-parser

    A practical tool for converting PDF to Markdown

    Depends on transformersPyPI

    Not published by PyPI

Latest news the 2 latest events that mention it