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Model information:

distilbert-base-uncased model finetuned using the conll2003 dataset from the datasets library.

Intended uses & limitations

This model is intended to be used for named entity recoginition tasks. The model will identify entities of persons, locations, organisations, and miscellaneous. The model will predict lables based upon the CoNLL-2003 dataset.

Note that the dataset and model may not be fully represetative or suitable for all needs it is recommended that the paper for the dataset and base model card should be reviewed before using the model -

How to use

Load the model from the library using the following checkpoints:

from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("sarahmiller137/distilbert-base-uncased-ft-conll2003")
model = AutoModel.from_pretrained("sarahmiller137/distilbert-base-uncased-ft-conll2003")
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Dataset used to train sarahmiller137/distilbert-base-uncased-ft-conll2003

Evaluation results