Instructions to use connorboyle/bert-ner-i2b2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use connorboyle/bert-ner-i2b2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="connorboyle/bert-ner-i2b2")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("connorboyle/bert-ner-i2b2") model = AutoModelForTokenClassification.from_pretrained("connorboyle/bert-ner-i2b2") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("connorboyle/bert-ner-i2b2")
model = AutoModelForTokenClassification.from_pretrained("connorboyle/bert-ner-i2b2")Quick Links
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Named-entity recognition model trained on the I2B2 training data set for PHI.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="connorboyle/bert-ner-i2b2")