Hugging Face Transformers
Shares rank 12 of 19 machine learning libraries by recommenders
Core open source Python library for running machine learning models, valued for smooth setup. Critics note frequent breaking changes and trouble working offline.
Core open source Python library for running machine learning models, valued for smooth setup. Critics note frequent breaking changes and trouble working offline.
19 people gave an opinion
- recommend it
- 8
- criticize it
- 11
- approval share
- 42%
Recommended in 7 of 13 months
- November 2025: not recommended
- December 2025: not recommended
- January 2026: recommended
- February 2026: recommended
- March 2026: recommended
- April 2026: recommended
- May 2026: recommended
- June 2026: not recommended
- July 2026: recommended
- August 2026: not recommended
- September 2026: not recommended
- October 2026: recommended
- November 2026: not recommended (month in progress)
Why it doesn’t carry the badge
- 8 people recommend itNeeds 10 or more, not met.
- 0.7 recommenders for every criticNeeds 2 to 1 or better, not met.
- Recommended in 7 of 13 monthsNeeds 4 or more, met.
The same three rules apply to every product, and the badge can’t be bought. How the badge works
What people say about it
The reasons people give, with the number of comments that give each one. Open a reason to read what they said.
Why people recommend it
Each mark is one comment
Works smoothly with little setup
“you no longer needed to wrestle with anaconda and order of installation for all the deps”
Comment from 3 Mar 2026 in “OpenClaw Surpasses React to Become the Most-Starred Software Project on GitHub” “The processor from the transformers library works fine though.”
Comment from 5 May 2026 in “Accelerating Gemma 4: faster inference with multi-token prediction drafters” “had it work without three rounds of fiddling”
Comment from 20 Sep 2026 in “Qwen Image 2.1” Core, well-regarded open source library
“pretty much the core library for how you interact with LLM models in the open source world”
Comment from 21 Jul 2026 in “OpenAI and Hugging Face partner to address security incident” “Hugging Face have been a great open source steward of Transformers”
Comment from 20 Feb 2026 in “Ggml.ai joins Hugging Face to ensure the long-term progress of Local AI” “HF is super valuable with their transformers library”
Comment from 20 Feb 2026 in “Ggml.ai joins Hugging Face to ensure the long-term progress of Local AI”
What people warn about
Each mark is one comment
Breaking changes and stability worries
“They break backwards compatibility constantly, even on APIs which are not underscore/dunder named”
Comment from 20 Feb 2026 in “Ggml.ai joins Hugging Face to ensure the long-term progress of Local AI” “If you want to look for a coming disaster, look no further than HuggingFace libraries”
Comment from 1 May 2026 in “Shai-Hulud Themed Malware Found in the PyTorch Lightning AI Training Library” “velocity is a real risk to stability, dogfooding or not”
Comment from 5 May 2026 in “I am worried about Bun” Phones home and hard offline
“I was surprised how hard it was to stop the Python transformers library from phoning home to Hugging Face.”
Comment from 2 May 2026 in “Do_not_track” “HF is notorious for making it difficult to work offline”
Comment from 2 May 2026 in “Do_not_track”
Other machine learning libraries people recommend
The four most recommended other machine learning libraries, with the same counts for each, so you can compare like for like. The tick on each bar marks the 2 to 1 line the badge needs.
See all 19 machine learning libraries, rankedWhat people said
All 20 comments that mention it, newest first. Each links to the original comment.
“completely devoid of suspense or consistency”
“while huggingface transformers supports it, it only can do f16 quant for MoEs like Diffusion Gemma”
“had it work without three rounds of fiddling”
“Totally not sure why any one would use it for anything other then if they stumbled across it”
“It conflates so many different ideas into huge monoliths that it's barely usable”
“pretty much the core library for how you interact with LLM models in the open source world”
“The processor from the transformers library works fine though.”
“velocity is a real risk to stability, dogfooding or not”
“HF is notorious for making it difficult to work offline”
“I was surprised how hard it was to stop the Python transformers library from phoning home to Hugging Face.”
“If you want to look for a coming disaster, look no further than HuggingFace libraries”
“the ending still gives me goosebumps in hope for future”
“even before Netflix blockbuster movies were done with a cookie cutter”
“you no longer needed to wrestle with anaconda and order of installation for all the deps”
“Hugging Face have been a great open source steward of Transformers”
“We just don’t have a choice due to their dominance of open source ML”
“They break backwards compatibility constantly, even on APIs which are not underscore/dunder named”
“HF is super valuable with their transformers library”
“Glad to see the tokenizer rewrite.”
“The movie was awful because it looked filmed at a low frame rate and they cut between views every frame or two.”
Counts come from 1,795,640 Hacker News comments, November 2025 to November 2026. How we count. Report a mistake.