Which open-weight text classification and extraction models get downloaded most
A daily read of Hugging Face's top 5,000 models, focused on models that classify text and pull out information, from base encoders like BERT to entity taggers: the most downloaded, new uploads in the top 5,000, what they are used for, and who makes them.
The most-downloaded open-weight text classification and extraction models
Ranked by downloads over the last 30 days. Fine-tuned versions count; most format conversions and re-uploads are left out. Counts include automated fetches, which lift models that tools and test suites pull by default. How models are placed is explained under About this data.
New text classification and extraction models in the top 5,000
Uploaded to Hugging Face in the last six months with at least 25 likes or a trending score of 10, ranked by downloads over the last 30 days. Most format conversions and re-uploads are left out.
Downloads by task
Share of downloads of text classification and extraction models in Hugging Face's top 5,000 on Oct 2, 2026, leaving out most format conversions and re-uploads.
Share of downloads by maker
Each repo counts under the account that uploaded it, leaving out most format conversions and re-uploads. Change is in percentage points since Jul 4, 2026.
Licences of the most-downloaded text classification and extraction models
As declared on each repo, leaving out most format conversions and re-uploads.