bert-base-NER

The indonesian‑roberta‑base‑posp‑tagger is a fine‑tuned token‑classification model built on top of the flax‑community/indonesian‑roberta‑base checkpoint.

dslim/bert-base-NER is a fine‑tuned bert-base‑cased model that performs Named Entity Recognition (NER) on English text.

The fullstop-punctuation-multilang-large model, hosted under the identifier oliverguhr/fullstop-punctuation-multilang-large , is a token‑classification transformer that restores punctuation in raw, unpunctuated text.

In practice, it takes a raw sentence, tokenises it with the original BERT WordPiece vocabulary, and predicts a label for each token (e.g., B‑PER , I‑ORG , O ).