Token Classification
Transformers
PyTorch
English
bert
sequence-tagger-model
pubmedbert
uncased
radiology
biomedical
bdf-toolbox
Instructions to use StanfordAIMI/stanford-deidentifier-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use StanfordAIMI/stanford-deidentifier-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="StanfordAIMI/stanford-deidentifier-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("StanfordAIMI/stanford-deidentifier-v2") model = AutoModelForTokenClassification.from_pretrained("StanfordAIMI/stanford-deidentifier-v2") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened 8 months ago
by
SFconvertbot