Environment:Huggingface Transformers Python 310 Runtime

Knowledge Sources	Huggingface Transformers setup.py
Domains	Infrastructure, Runtime
Last Updated	2026-02-13 20:00 GMT

Overview

Python 3.10+ runtime environment required for the Huggingface Transformers library (v5.x).

Description

Transformers v5.x requires Python 3.10 or higher (up to 3.14). The library uses modern Python features including type union syntax (|), match statements, and structural pattern matching that are only available in Python 3.10+. The hard dependencies include huggingface-hub, numpy, packaging, pyyaml, regex, tokenizers, safetensors, tqdm, and typer-slim.

Usage

This is the base runtime environment required for any use of the Transformers library. All workflows (Pipeline Inference, Model Training, Quantization, PEFT, Distributed Training, Benchmarking) require this environment as a prerequisite.

System Requirements

Category	Requirement	Notes
OS	Linux, macOS, or Windows	OS Independent per classifier
Python	>= 3.10.0, <= 3.14.x	Supported range: 3.10 to 3.14
Disk	~500MB	For base library + dependencies

Dependencies

System Packages

No system-level packages required for base installation

Python Packages (Hard Dependencies)

huggingface-hub >= 1.3.0, < 2.0
numpy >= 1.17
packaging >= 20.0
pyyaml >= 5.1
regex != 2019.12.17
tokenizers >= 0.22.0, <= 0.23.0
safetensors >= 0.4.3
tqdm >= 4.27
typer-slim (CLI utilities)

Optional Extras

transformers[torch]: torch >= 2.4, accelerate >= 1.1.0
transformers[vision]: torchvision, Pillow >= 10.0.1
transformers[audio]: torchaudio, librosa, pyctcdecode, phonemizer
transformers[video]: av
transformers[sentencepiece]: sentencepiece >= 0.1.91, protobuf
transformers[accelerate]: accelerate >= 1.1.0
transformers[serving]: openai, pydantic, uvicorn, fastapi, starlette, rich

Credentials

No credentials required for the base installation. Some workflows require:

HF_TOKEN: HuggingFace API token for accessing gated models on the Hub.

Quick Install

# Base installation
pip install transformers

# With PyTorch support (most common)
pip install transformers[torch]

# Full installation with all modalities
pip install transformers[all]

Code Evidence

Python version requirement from setup.py:51:

# Supported Python version range (min, max)
SUPPORTED_PYTHON_VERSIONS = (10, 14)  # 3.10 to 3.14

Hard dependency list from setup.py:264-274:

install_requires = [
    deps["huggingface-hub"],
    deps["numpy"],
    deps["packaging"],
    deps["pyyaml"],
    deps["regex"],
    deps["tokenizers"],
    deps["typer-slim"],
    deps["safetensors"],
    deps["tqdm"],
]

Common Errors

Error Message	Cause	Solution
`Python >= 3.10 is required`	Python version too old	Upgrade to Python 3.10+
`ImportError: cannot import name 'transformers'`	Package not installed	`pip install transformers`
`tokenizers version mismatch`	Incompatible tokenizers version	`pip install tokenizers>=0.22.0,<=0.23.0`

Compatibility Notes

Python 3.13+: The kenlm package (for audio extras) is not available on Python 3.13+.
Python 3.14+: The mistral-common, ray[tune], and sudachipy extras are not available.
All Platforms: OS Independent; tested on Linux, macOS, and Windows.

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