Back to discover
PythonListed by innotive

transformers

huggingface/transformers

162,450 stars33,857 forks

๐Ÿค— Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference a

๐Ÿค— 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.

audiodeep-learningdeepseekgemmaglmhacktoberfestllmmachine-learningmodel-hubnatural-language-processingnlppretrained-modelspythonpytorchpytorch-transformersqwenspeech-recognitiontransformervlm

Project page

This project has not published an innotive.md page yet.

Repo-native content, AI-friendly workflow

Create innotive.md at the repository root. innotive renders that file as the project page โ€” we do not host an editor.

Keep the content in your repo so it stays versioned with your code. Many teams already run AI in their repositories; drafting innotive.md with your usual AI workflow is usually the fastest path.

Create innotive.md on GitHub
# transformers

One-line summary of what this project does.

## What it solves

Explain the problem and who it's for.

## Quick start

```bash
# install / run commands
```

## Key features

- Feature one
- Feature two

Latest release

Most recent version synced from GitHub.

Patch release v5.13.1

v5.13.1

# Patch release v5.13.1 This patch is focused on enabling `transformers` for the latest release of vllm! - Be more defensive with remap_legacy_layer_types for custom models (#47245) from @hmellor - Fix custom code which doesn't know about the new linear layer type names (#47174) from @hmellor - Fix case where _LazyAutoMapping.register is passed a str key (#47148) from @hmellor