10 days of daily snapshots
Trending open models
Ranked by 7-day download growth from our own nightly snapshots — history Hugging Face itself doesn't show.
All tasks
text-generation
text-to-image
ASR
image-text-to-text
sentence-similarity
feature-extraction
translation
text-classification
image-classification
token-classification
text-to-speech
audio-classification
image-segmentation
object-detection
summarization
| # | Model | 30d | Δ 7d | Trend |
|---|---|---|---|---|
| 01 | bert-portuguese-ner | 452 K | ▲ 31.4% | |
| 02 | bert-base-multilingual-cased-ner-hrl | 253 K | ▲ 13.0% | |
| 03 | llmlingua-2-bert-base-multilingual-cased-meetingbank | 493 K | ▲ 10.7% | |
| 04 | ner-english-fast | 543 K | ▲ 10.2% | |
| 05 | xlm-roberta-base-ner-hrl | 307 K | ▲ 8.5% | |
| 06 | privacy-filter | 536 K | ▲ 7.2% | |
| 07 | sat-3l-sm | 558 K | ▲ 4.5% | |
| 08 | bert-small-pii-detection | 416 K | ▲ 3.4% | |
| 09 | span-marker-bert-base-uncased-acronyms | 252 K | ▲ 1.6% | |
| 10 | stanford-deidentifier-base | 1.9 M | ▲ 1.6% | |
| 11 | punctuate-all | 708 K | ▲ 0.1% |
Snapshots taken nightly at 04:00 UTC from the public Hugging Face API. Also available as JSON: /api/v1/trending · methodology