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ModernBERT - NER finetune version offers token classification over long range of tokens(~8k). Making it one of the best encoder-only models for long context token classification.

Tests

  • Is the new feature tested? (Not always necessary for all changes -- just adding to the checklist to keep track)
  • Have you ran all the tests?
  • Do the tests all pass?
  • If not, have you included an explanation of which tests this PR breaks and/or why (below this checklisT)

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