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]
1 maintainer
Metadata
1 maintainer
Release files for transformers-qwenomni 4.52.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| transformers_qwenomni-4.52.0.3.tar.gz | 9.6 MB | Details |
Release files / transformers_qwenomni-4.52.0.3.tar.gz
| Download URL | transformers_qwenomni-4.52.0.3.tar.gz |
|---|---|
| Size | 9.6 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
b7b5b8b0cfdda1495755925bccafc748fd884399f7a8858ac76c1de6b7b65b76
|
|
BLAKE2b-256 checksum How to use checksums |
7e130a15539cfd4f43d4b799f2ff558a70899a0d22fb042830a42b3914456079
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.3
|
