indonesian-roberta-base-posp-tagger
Productivitytoken classification model by w11wo on Hugging Face (transformers). 3,349,969 downloads in the last 30 days as of 2026-10-15.
token classification model by EvanD on Hugging Face (transformers). 924 downloads in the last 30 days as of 2026-10-15.
dutch-ner-xlm-conll2003 is an open AI model published on Hugging Face by EvanD for token classification (e.g. named-entity recognition). Hugging Face reported 924 downloads in the 30 days to 2026-10-15. Weights are free to download from Hugging Face; licence terms are set by the publisher on the model card.
| Publisher | EvanD |
|---|---|
| Task | token classification (e.g. named-entity recognition) |
| Library | transformers |
| Downloads (30 days) | 924 (as of 2026-10-15) |
| Price | Free to download (open weights) |
Listed as Free. Detailed prices haven't been checked from the official site yet; see dutch-ner-xlm-conll2003.
token classification model by w11wo on Hugging Face (transformers). 3,349,969 downloads in the last 30 days as of 2026-10-15.
token classification model by StanfordAIMI on Hugging Face (transformers). 1,388,624 downloads in the last 30 days as of 2026-10-15.
token classification model by dslim on Hugging Face (transformers). 1,352,658 downloads in the last 30 days as of 2026-10-15.
token classification model by dbmdz on Hugging Face (transformers). 796,968 downloads in the last 30 days as of 2026-10-15.
token classification model by Babelscape on Hugging Face (transformers). 624,668 downloads in the last 30 days as of 2026-10-15.
token classification model by kredor on Hugging Face (transformers). 620,480 downloads in the last 30 days as of 2026-10-15.
dutch-ner-xlm-conll2003 is an open AI model published on Hugging Face by EvanD for token classification (e.g.
dutch-ner-xlm-conll2003 is listed as free.
1. Open the model card on Hugging Face for usage notes, the base model and the licence. 2. Load it with transformers (for Transformers: `pipeline("token-classification", model="EvanD/dutch-ner-xlm-conll2003")`). 3. Test it on a small sample of your own data before using it in production.
Related models include indonesian-roberta-base-posp-tagger, stanford-deidentifier-base, bert-base-NER, bert-large-cased-finetuned-conll03-english, wikineural-multilingual-ner.
This page is generated from public listing data (source listing, tags, counts and our own link check); check the official page for features, licence and current pricing. Want to master tools like this? See the 100+ AI Tools Course.