1,054 models · refreshed nightly
Text classification models
Every model in the catalog with its licence, estimated VRAM and daily-tracked downloads. Filters update the URL — share any view.
| # | Model | Params | Context | Commercial use | 30d | Min VRAM |
|---|---|---|---|---|---|---|
| 01 | bge-reranker-v2-m3 | 570 M | 8 K | ✓ apache-2.0 | 17.6 M | from 3.1 GB |
| 02 | finbert | — | 512 | unknown | 5.3 M | — |
| 03 | Prompt-Guard-86M | 280 M | — | ⚠ llama3.1 | 4.4 M | from 1.8 GB |
| 04 | bge-reranker-base | 280 M | 512 | ✓ mit | 4.0 M | from 1.8 GB |
| 05 | distilbert-base-uncased-finetuned-sst-2-english | 70 M | 512 | ✓ apache-2.0 | 3.7 M | from 0.8 GB |
| 06 | twitter-roberta-base-sentiment-latest | — | 512 | ✓ cc-by-4.0 | 3.2 M | — |
| 07 | koelectra-small-v3-nsmc | 10 M | 512 | ✓ mit | 1.5 M | from 0.6 GB |
| 08 | robertuito-sentiment-analysis | 110 M | 128 | unknown | 1.1 M | from 1.0 GB |
| 09 | ms-marco-MiniLM-L-6-v2 | — | 512 | unknown | 1.1 M | — |
| 10 | finbert-tone | — | 512 | unknown | 1.0 M | — |
| 11 | distilbert-base-multilingual-cased-sentiments-student | 140 M | 512 | ✓ apache-2.0 | 1.0 M | from 1.1 GB |
| 12 | turn-detector | 130 M | 8 K | other | 978 K | from 1.1 GB |
| 13 | twitter-xlm-roberta-base-sentiment | — | 512 | unknown | 943 K | — |
| 14 | deberta-v3-base-prompt-injection-v2 | 180 M | 512 | ✓ apache-2.0 | 859 K | from 1.3 GB |
| 15 | roberta-base-go_emotions | 120 M | 512 | ✓ mit | 854 K | from 1.1 GB |
| 16 | bert-base-multilingual-uncased-sentiment | 170 M | 512 | ✓ mit | 705 K | from 1.3 GB |
| 17 | Qwen3-Reranker-4B-W4A16-G128 | 4.1 B | 41 K | ✓ apache-2.0 | 586 K | from 4.0 GB |
| 18 | xlm-roberta-base-language-detection | 280 M | 512 | ✓ mit | 578 K | from 1.8 GB |
| 19 | emotion-english-distilroberta-base | — | 512 | unknown | 565 K | — |
| 20 | inclusively-classification | 110 M | 512 | ✗ cc-by-nc-sa-4.0 | 553 K | from 1.0 GB |
| 21 | MedCPT-Cross-Encoder | — | 512 | other | 552 K | — |
| 22 | xlm-emo-t | — | 512 | unknown | 488 K | — |
| 23 | cryptobert | 120 M | 512 | ✓ mit | 486 K | from 1.1 GB |
| 24 | Bangla-twoclass-Sentiment-Analyzer | 280 M | 512 | ✓ mit | 425 K | from 1.8 GB |
| 25 | fasttext-language-identification | — | — | ✗ cc-by-nc-4.0 | 422 K | — |
| 26 | jina-reranker-m0 | 2.4 B | 33 K | ✗ cc-by-nc-4.0 | 396 K | from 6.2 GB |
| 27 | rubert-tiny-toxicity | 10 M | 512 | ✓ mit | 369 K | from 0.6 GB |
| 28 | deberta-xlarge-mnli | — | 512 | ✓ mit | 349 K | — |
| 29 | distilroberta-finetuned-financial-news-sentiment-analysis | 80 M | 512 | ✓ apache-2.0 | 342 K | from 0.9 GB |
| 30 | distilbert-imdb | — | 512 | ✓ apache-2.0 | 337 K | — |
| 31 | RADAR-Vicuna-7B | 7.0 B | 512 | unknown | 315 K | from 17.0 GB |
| 32 | phishing-email-detection-distilbert_v2.4.1 | 70 M | 512 | ✓ apache-2.0 | 310 K | from 0.8 GB |
| 33 | prokbert-mini-promoter | 20 M | 1 K | ✗ cc-by-nc-4.0 | 302 K | from 0.6 GB |
| 34 | koelectra-polite-v1 | — | 512 | unknown | 272 K | — |
| 35 | bertweet-base-sentiment-analysis | — | 128 | unknown | 267 K | — |
| 36 | roberta_toxicity_classifier | — | 512 | ⚠ openrail++ | 259 K | — |
| 37 | FinancialBERT-Sentiment-Analysis | — | 512 | unknown | 253 K | — |
| 38 | deberta-large-mnli | — | 512 | ✓ mit | 252 K | — |
| 39 | Qwen2.5-1.5B-apeach | 1.5 B | 131 K | unknown | 251 K | from 7.5 GB |
| 40 | twitter-roberta-base-sentiment | — | 512 | unknown | 247 K | — |
| 41 | toxic-comment-model | — | 512 | unknown | 237 K | — |
| 42 | glotlid | — | — | other | 227 K | — |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.