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Transformers

by Hugging Face

Thousands of open AI models in a few lines of code

The standard library for thousands of open models across text, vision and audio.

Open SourceTrust 100Some practice neededRuns offlinePython
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Checked sourcegithub.com/huggingface/transformersLicence: Apache-2.0checked yesterdayGitHub lists a SHA-256 checksum for every release file.

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How it runs for you

Simulation starting …

Illustration, not a real test run

What you get

What you get

  1. 01Models for text, vision and audio through one API
  2. 02Get going in a few lines with `pipeline()`
  3. 03Fine-tune models on your own data

For you if …

  • Python developers using open models
  • ML researchers and students

Pick something else if …

  • Want a local chat without code? Try LM Studio or Jan

How to start

In three steps.

What you need
  • Python skills
  • PyTorch
  • GPU helps for training
  1. 1Install with pip install transformers torch
  2. 2Try pipeline('sentiment-analysis') as a first task
  3. 3Pick models from the Hugging Face Hub and fine-tune with Trainer

Safety check

7 of 7 checks passed

No known malicious patterns in the install instructionsactively maintainedLicence: Apache-2.0

Trust 100
Who is behind it?
  • Taken by OROBO from the official source. The maker has not joined OROBO yet.
Is the code clean?
  • Source code publicly visible
  • Licence: Apache-2.0
  • No known malicious patterns in the install instructions
Is it maintained?
  • Website reachable
  • Updated today
Technical details & what we don’t check
  • Website loads fast
  • Website protection settings: 3 of 6 (website only, not the software)HSTS, Frame-Schutz, Referrer-Policy

We automatically check origin, code patterns, licence, maintenance and reachability — again every day. We do not check whether the software fits your purpose, how it handles your data, or whether it works without errors. Last checked yesterday. How OROBO checks

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Facts

AreaBuild it yourself
PriceOpen Source
LicenceApache-2.0
Runs onPython
Popular with developers★ 168.5K GitHub
Last updated04 Nov 2026
Sourcehuggingface/transformers ↗
Websitehuggingface.co/docs/transformers ↗
I am the maker