transformers-qwenomni 4.52.0.3

Transformers: With code for Qwen 2.5 Omni

This repository is a fork of https://github.com/huggingface/transformers.

This library has most recent code of Transformers that supports Qwen 2.5 Omni Model

Transformers is a library of pretrained text, computer vision, audio, video, and multimodal models for inference and training. Use Transformers to fine-tune models on your data, build inference applications, and for generative AI use cases across multiple modalities.

Installation

Transformers works with Python 3.9+ PyTorch 2.1+, TensorFlow 2.6+, and Flax 0.4.1+.

Create and activate a virtual environment with venv or uv, a fast Rust-based Python package and project manager.

# venv
python -m venv .my-env
source .my-env/bin/activate
# uv
uv venv .my-env
source .my-env/bin/activate

Install Transformers in your virtual environment.

# pip
pip install transformers-qwenomni

# uv
uv pip install transformers-qwenomni

Install Transformers from source if you want the latest changes in the library or are interested in contributing. However, the latest version may not be stable. Feel free to open an issue if you encounter an error.

git clone https://github.com/huggingface/transformers.git
cd transformers

# pip
pip install .[torch]

# uv
uv pip install .[torch]