dslim

/

bert-base-NER-uncased

like 32

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("token-classification", model="dslim/bert-base-NER-uncased")

# Load model directly
from transformers import AutoTokenizer, AutoModelForTokenClassification

tokenizer = AutoTokenizer.from_pretrained("dslim/bert-base-NER-uncased")
model = AutoModelForTokenClassification.from_pretrained("dslim/bert-base-NER-uncased")