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Edrex
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bert-base-uncased-ner

Token Classification
Transformers
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bert
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How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("token-classification", model="Edrex/bert-base-uncased-ner")
# Load model directly
from transformers import AutoTokenizer, AutoModelForTokenClassification

tokenizer = AutoTokenizer.from_pretrained("Edrex/bert-base-uncased-ner")
model = AutoModelForTokenClassification.from_pretrained("Edrex/bert-base-uncased-ner")
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We fine-tuned Google Bert on the CoNLL-2003 dataset to realize named entity recognition (NER).

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google-bert/bert-base-uncased
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Dataset used to train Edrex/bert-base-uncased-ner

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