Huggingface Transformers by huggingface

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

nlpnatural-language-processingpytorchpytorch-transformerstransformermodel-hubpretrained-modelsspeech-recognitionhacktoberfestpythonmachine-learningdeep-learning
Verdict 81/100 health $4.13/mo cheapest, hetzner 2/5 setup difficulty 8 open CVEs Last release 9 days ago

Self-host Huggingface Transformers on hetzner CAX11 for $4.13/mo.

Health score
81 /100
6-dim composite
Self-hosts from
$4.13 /mo
hetzner · CAX11
Difficulty
2 /5
Docker + read README
GitHub stars
160k
33k forks

About Huggingface Transformers

From the project's README at github.com/huggingface/transformers. Lightly cleaned for readability; for the full source see the upstream repo.

<!--- Copyright 2020 The HuggingFace Team. All rights reserved.

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. -->

Health score breakdown

6-dimension composite. See methodology for formula and weights.

activity
100
maturity
100
community
91
security
85
sustainability
65
adoption
45

Adoption signals

Real-world usage data, pulled from each registry. The bigger the numbers, the more battle-tested the project.

SignalValueSource
GitHub stars 160k github.com/huggingface/transformers
GitHub forks 33k github.com/huggingface/transformers
PYPI downloads (last month) 142811k transformers

Release & maintenance

Is this project actively maintained, or about to die? Check the recency of last commit and last release.

Project age7.5 yearssince Oct 2018
Last commit3 days agoMay 4, 2026
Releases shipped255last: 9 days ago
Security policySECURITY.mddeclared by maintainers

Self-hosting cost across providers

Detected requirements: 4GB RAM, 40GB disk minimum. Cheapest plan per provider that meets the requirement.

ProviderPlanSpecsMonthly
hetzner CAX11 2c · 4GB · 40GB $4.13 USD Deploy →
vultr VC2 1c · 1GB · 25GB $5 USD Deploy →
linode Nanode 1GB 1c · 1GB · 25GB $5.12 USD Deploy →
digitalocean Basic Regular 1GB 1c · 1GB · 25GB $6 USD Deploy →

Security advisories

54 known advisories tracked via OSV.dev. 8 currently open without a documented fix. Most recent: GHSA-69w3-r845-3855.

What people say on Hacker News

Ready to self-host Huggingface Transformers?

Spin up a hetzner CAX11 (4GB RAM, 40GB disk) for $4.13/mo and follow the project's official install docs.

Data last refreshed May 7, 2026.

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Frequently asked questions

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