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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.

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, 4:01:40 AM 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

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