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Task Adapters

Pre-trained model:

bert
All architectures
bert xlm-roberta distilbert gpt2 bart roberta mbart
bert-base-uncased
All shortcut names
aubmindlab/bert-base-arabert bert-base-multilingual-cased bert-base-uncased bert-base-multilingual-uncased malteos/scincl

CONLL2003

CoNLL-2003 shared task:language-independent named entity recognition is a dataset corpus consisting of the Reuters news stories between August 1996 and August 1997. Each line of the corpus has four fields: the word, its part-of-speech tag, its chunk tag and its named entity tag. We used chunked tag field.
  Website 🤗  huggingface.co
chunk/conll2003@vblagoje bert-base-uncased
1 version Architecture: pfeiffer Head: 

Pfeiffer Adapter trained on "Introduction to the CoNLL-2003 Shared Task: Language-Independent Named Entity Recognition" with F1 score of 91.3. See example notebook at https://bit.ly/33Nh84t

Paper

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