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huggingface
transformers
Python2018–2026
huggingface / transformers

transformers

🤗 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.

AI & Machine LearningCreative & MediaLearning & Reference
Explore on GitHubRead Hacker News discussions
79Distinct people
93Mentions
1Explicit recommenders
168.9KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

🤗 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.

GitHub

Where it is used

No documented product use was verified in the last source check.

What people are saying

For deep learning / neural networks, I think these are the best balance of theory and practice (not to mention great visualizations): http://cs231n.github.io More on the…

jointpdf used a recommendation phrase. One indexed comment matches. This is a phrase match, not a verdict.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

Mentioned in the same Hacker News threads. That is not proof they are substitutes.

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 12:03:30 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year93 dated mentions

Observed mentions: 2018-11-07 08:59:39 UTC to 2026-08-06 23:03:10 UTC.

051015202018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments20182019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 9 mentions; 3 submissions, 6 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 15 mentions; 3 submissions, 12 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 7 mentions; 1 submissions, 6 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 8 mentions; 1 submissions, 7 comments20222023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 20 mentions; 4 submissions, 16 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 12 mentions; 2 submissions, 10 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 12 mentions; 3 submissions, 9 comments2026-01-01 00:00:00 UTC to 2027-01-01 00:00:00 UTC (exclusive): 9 mentions; 2 submissions, 7 comments. Incomplete calendar period.2026*

* An incomplete calendar period is marked with an outlined bar. Its count is not directly comparable with a full period.

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC110
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC936
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC15312
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC716
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC817
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC20416
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC12210
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC1239
2026 (partial)2026-01-01 00:00:00 UTC2027-01-01 00:00:00 UTC927

What Hacker News says

9 sources
pavelai·Aug 6, 2026
Prompt injection allows third-party to inject a system prompt with simple message, by inserting special HTML-like sequence (details below). Some of the issues are well-known and pretty old (almost 2 years for Transformers library) Issues: • Ollama: https://github.com/ollama/ollama/issues/15931 • HuggingFace: https://github.com/huggingface/transformers/issues/29279 (labeled as feature request) https://github.com/huggingface/transformers/issues/47822 (with a bug label) • Gemma4: https://github.com/google-deepmind/gemma/issues/768 The problem is that for tools like Ollama there is no solution except of to fix it by Ollama developers More context Why this is important: prompt injections are pretty dangerous and as long as user input is an instruction to the model it could be decided as code injections vulnerability. And in combination with lo
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ng-memory and multi-agentic runtimes this vulnerability could stay in system for a long time. And it has not been decided as a serious security vulnerability by the global community yet Temporal Solution So if you're running local models just make sure to throw an error when there is a special sequence in user input. For Gemma family it is <|turn> and for tiktoken-based models it's <|im_start|>. And would be nice to see more solutions Disclaimer I'm not a security expert The companies were notified 30 days ago about the issue. Only Google responded with a feedback on the issue (swiftly)
In Prompt Injection Vulnerability in Ollama, Gemma4 and HuggingFace's Transformers

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