55 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
object-detection
summarization
image-segmentation
| # | Model | 30d | Δ 7d | Trend |
|---|---|---|---|---|
| 01 | ner-english | 230 K | ▲ 5.6% | |
| 02 | llmlingua-2-bert-base-multilingual-cased-meetingbank | 309 K | ▲ 5.4% | |
| 03 | punctuate-all | 822 K | ▲ 3.7% | |
| 04 | wikineural-multilingual-ner | 678 K | ▲ 3.0% | |
| 05 | indonesian-roberta-base-posp-tagger | 2.6 M | ▲ 1.4% | |
| 06 | OpenMed-NER-PharmaDetect-SuperClinical-434M | 263 K | ▲ 1.2% |
Snapshots taken nightly at 04:00 UTC from the public Hugging Face API. Also available as JSON: /api/v1/trending · methodology