# Load model directly
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("KindLab/distilbert-deid")
model = AutoModelForTokenClassification.from_pretrained("KindLab/distilbert-deid")Quick Links
Protected health information (PHI) anonymization tool. Fine-tuned on the i2b2 2014 training dataset from the pretrained distilbert-base-cased model.
Anonymizes according to the i2b2 2014 standard, including all ages, locations and organizations, dates (including lone years), names, professions, identification numbers, and contact information.
Model released with the approval of Informatics for Integrating Biology & the Bedside.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="KindLab/distilbert-deid")