misc/py-transformers 5.3.0_3 FreeBSD

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

System: FreeBSD
Repository: FreeBSD ports
Maintainer: [email protected]
Last update: 2026-07-28
Commit: 038115800a
License: APACHE20
Categories: misc, python

Description

Transformers acts as the model-definition framework for state-of-the-art machine learning models in text, computer vision, audio, video, and multimodal model, for both inference and training.

It centralizes the model definition so that this definition is agreed upon across the ecosystem. transformers is the pivot across frameworks: if a model definition is supported, it will be compatible with the majority of training frameworks (Axolotl, Unsloth, DeepSpeed, FSDP, PyTorch-Lightning, ...), inference engines (vLLM, SGLang, TGI, ...), and adjacent modeling libraries (llama.cpp, mlx, ...) which leverage the model definition from transformers.

Install

Binary package:

pkg install py312-transformers

From the ports tree:

cd /usr/ports/misc/py-transformers/ && make install clean

To depend on this port in another port's Makefile:

RUN_DEPENDS=	py312-transformers>0:misc/py-transformers

Packages

The version each package repository carries. “-” means the repository builds no package of it, “n/a” that there is no such repository.

Repository

aarch64

amd64

armv6

armv7

i386

FreeBSD:14:latest

5.3.0_3

FreeBSD:14:quarterly

5.3.0_3

n/a

FreeBSD:15:latest

5.3.0_3

n/a

FreeBSD:15:quarterly

5.3.0_3

n/a

FreeBSD:16:latest

5.3.0_3

n/a

FreeBSD:16:quarterly

n/a

Dependencies

As this port's Makefile names them.

Build 1

${PYTHON_PKGNAMEPREFIX}wheel>0 : devel/py-wheel

Runtime 32

${PYTHON_PKGNAMEPREFIX}filelock>0 : sysutils/py-filelock
${PYTHON_PKGNAMEPREFIX}huggingface-hub>=1.3.0 : misc/py-huggingface-hub
${PYTHON_PKGNAMEPREFIX}numpy>=1.16 : math/py-numpy
${PYTHON_PKGNAMEPREFIX}packaging>=20.0 : devel/py-packaging
${PYTHON_PKGNAMEPREFIX}pyyaml>=5.1 : devel/py-pyyaml
${PYTHON_PKGNAMEPREFIX}regex>=2019.12.17 : textproc/py-regex
${PYTHON_PKGNAMEPREFIX}requests>0 : www/py-requests
${PYTHON_PKGNAMEPREFIX}safetensors>=0.4.3 : misc/py-safetensors
${PYTHON_PKGNAMEPREFIX}tokenizers>=0.22 : textproc/py-tokenizers
${PYTHON_PKGNAMEPREFIX}tqdm>=4.27 : misc/py-tqdm
${PYTHON_PKGNAMEPREFIX}typer>0 : devel/py-typer
${PYTHON_PKGNAMEPREFIX}pytorch>=2.1 : misc/py-pytorch
${PYTHON_PKGNAMEPREFIX}pillow>0 : graphics/py-pillow
${PYTHON_PKGNAMEPREFIX}torchvision>0 : misc/py-torchvision
${PYTHON_PKGNAMEPREFIX}librosa>0 : audio/py-librosa
${PYTHON_PKGNAMEPREFIX}torchaudio>0 : audio/py-torchaudio
${PYTHON_PKGNAMEPREFIX}fastapi>0 : www/py-fastapi
${PYTHON_PKGNAMEPREFIX}openai>0 : misc/py-openai
${PYTHON_PKGNAMEPREFIX}pydantic2>0 : devel/py-pydantic2
${PYTHON_PKGNAMEPREFIX}starlette>0 : www/py-starlette
${PYTHON_PKGNAMEPREFIX}uvicorn>0 : www/py-uvicorn
${PYTHON_PKGNAMEPREFIX}accelerate>=0.26.0 : misc/py-accelerate
${PYTHON_PKGNAMEPREFIX}blobfile>=0 : net/py-blobfile
${PYTHON_PKGNAMEPREFIX}codecarbon>=2.8.1 : misc/py-codecarbon
${PYTHON_PKGNAMEPREFIX}ftfy>=0 : textproc/py-ftfy
${PYTHON_PKGNAMEPREFIX}NATTEN>=0.14.6 : misc/py-NATTEN
${PYTHON_PKGNAMEPREFIX}num2words>=0 : devel/py-num2words
${PYTHON_PKGNAMEPREFIX}optuna>=0 : misc/py-optuna
${PYTHON_PKGNAMEPREFIX}sagemaker>=2.31.0 : misc/py-sagemaker
${PYTHON_PKGNAMEPREFIX}sentencepiece>=0.1.91 : textproc/py-sentencepiece
${PYTHON_PKGNAMEPREFIX}tiktoken>=0 : textproc/py-tiktoken
${PYTHON_PKGNAMEPREFIX}timm>=1.0.19 : misc/py-timm

Test 1

${PYTHON_PKGNAMEPREFIX}parameterized>0 : devel/py-parameterized

The full lists below include those, and their dependencies in turn.

Build dependencies 16

Run dependencies 479

The first 100 are listed.

Required by 40

Configuration

No options to configure.

USES: python
Service scripts: none

Files

distinfo 1

File

Size

SHA256

transformers-5.3.0.tar.gz

8.830831e+06

009555b364029da9e2946d41f1c5de9f15e6b1df46b189b7293f33a161b9c557

Master sites 1

PYPI

Commit history 1

Date Commit Credits Log message

2026-07-28 038115800a Yuri Victorovich misc/py-transformers: Patch out tokenizers's upper version limit