How to install transformers safely — and check it's the real PyPI package

transformers is the Hugging Face Transformers library. The official package is well-maintained — which is exactly why attackers publish typosquats and lookalikes whose names are a keystroke away. Here's how to install transformers and confirm you're getting the real one.

Install

pip install transformers

Confirm it's the real package

pip index versions transformers
curl -s https://pypi.org/pypi/transformers/json | python -m json.tool | head -30

Check the repository URL resolves to real, active source, the maintainers are who you expect, and the release history is long and steady rather than a single surprise version.

Is transformers safe? quick checklist

• Exact name matches the official docs — watch for swapped letters, extra hyphens, scope changes.
• Download counts and age look like a mainstream package, not a fresh lookalike.
• No suspicious install-time scripts making network/shell calls.
• No open advisories against the version you're pulling.

Pin the version

pip install "transformers=="

Record it in your lockfile and review lockfile diffs in CI — that's where a swapped dependency surfaces.

Red flags & a quick scan

• A near-identical name with far fewer downloads and a recent creation date.
• A lone maintainer publishing a sudden release after a long quiet stretch.
• Install scripts running network calls — inspect before executing:

pip install --require-hashes -r requirements.txt
osv-scanner --lockfile requirements.txt

Related questions

• How do I install transformers? Run pip install transformers (details above).
• Is transformers safe to use? Yes, the official package is well-maintained — verify you have the real one with the checklist above, not a typosquat.
• What is the latest version of transformers? Check it deliberately rather than trusting a floating tag — see the verify step above — then pin the exact version.
• Does transformers have known vulnerabilities? Scan your lockfile with osv-scanner --lockfile requirements.txt and cross-check advisories on OSV for the exact version you use.
• Is the transformers PyPI package a supply-chain risk? The bigger risk is its transitive dependencies and install scripts — pin versions and review lockfile diffs.