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 signalsNo 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.
166.9K stars
Members 140repositories tagged with one of its aliases, most-starred first
- FareedKhan-dev/train-llm-from-scratch
A straightforward method for training your LLM, from downloading data to generating text.
11.9K stars
- speechbrain/speechbrain
A PyTorch-based Speech Toolkit
11.9K stars
- qubvel-org/segmentation_models.pytorch
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
11.8K stars
- huggingface/tokenizers
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
11.1K stars
- data-privacy-stack/presidio
An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports NLP, pattern matching, and customizable pipelines.
11.1K stars
- openvinotoolkit/openvino
OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
10.9K stars
- niedev/RTranslator
Open source real-time translation app for Android that runs locally
10.5K stars
- OpenRLHF/OpenRLHF
An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)
10.1K stars
- xorbitsai/inference
Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop — all through one unified, production-ready inference API.
9.6K stars
- NVlabs/Sana
SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer
9.2K stars
- jessevig/bertviz
BertViz: Visualize Attention in Transformer Models
8.2K stars
- MakazhanAlpamys/Soup
Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.
8K 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
Not published by PyPI - mcwtransformers
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Not published by PyPI - my-transformers
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Not published by PyPI - rlinf-transformer-openpi
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Not published by PyPI - t-draft-123
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
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.
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.
Not published by PyPI - transformers-mcw
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Not published by PyPI - transformers-openpi
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Not published by PyPI - transformers-qwenomni
Transformers: With code for Qwen 2.5 Omni
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.
Not published by PyPI
Ecosystem 279packages that depend on it, most-adopted first
- pytorch-widedeep
Combine tabular data with text and images using Wide and Deep models in Pytorch
Not published by PyPI - qwen-asr
Qwen-ASR python package
Not published by PyPI - qwen-tts
Qwen-TTS python package
Not published by PyPI - qwenpaw
QwenPaw is a **personal assistant** that runs in your own environment. It talks to you over multiple channels (DingTalk, Feishu, QQ, Discord, iMessage, etc.) and runs scheduled tasks according to your configuration. **What it can do is driven by Skills — the possibilities are open-ended.** Built-in skills include cron, PDF/Office handling, news digest, file reading, and more; you can add custom skills. All data and tasks run on your machine; no third-party hosting.
Not published by PyPI - qzagent
QwenPaw is a **personal assistant** that runs in your own environment. It talks to you over multiple channels (DingTalk, Feishu, QQ, Discord, iMessage, etc.) and runs scheduled tasks according to your configuration. **What it can do is driven by Skills — the possibilities are open-ended.** Built-in skills include cron, PDF/Office handling, news digest, file reading, and more; you can add custom skills. All data and tasks run on your machine; no third-party hosting.
Not published by PyPI - rapid-mlx
Rapid-MLX is an open-source (Apache 2.0) OpenAI- and Anthropic-compatible LLM inference server for Apple Silicon, built on MLX, focused on reliable tool calling for coding agents; up to 4× faster decoding than Apple's MLX (mlx-lm) on the same weights.
Not published by PyPI - recommenders
Recommenders - Python utilities for building recommendation systems
Not published by PyPI - rfdetr
RF-DETR
Not published by PyPI - river-client
Python client for River ML training API
Not published by PyPI - rlinf-openpi
Physical Intelligence open source repo
Not published by PyPI - routellm
A framework for serving and evaluating large language model routers.
Not published by PyPI - rpent-openpi
Physical Intelligence open source repo
Not published by PyPI
Latest news the 2 latest events that mention it
- 33d agoSEP 22, 2026
- 4mo agoJUL 8, 2026