Token Classification
Transformers
Safetensors
English
bert
ner
clinical
phi
pii
de-identification
medical
genzeon-platforms
cliniguard
healthcare
prior-authorization
utilization-management
medical-decision-support
agentic-ai
regulated-industry
hipaa
cms-wiser
aether-one
hip-one
Eval Results (legacy)
Instructions to use genzeonplatform/cliniguard-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use genzeonplatform/cliniguard-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="genzeonplatform/cliniguard-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("genzeonplatform/cliniguard-ner") model = AutoModelForTokenClassification.from_pretrained("genzeonplatform/cliniguard-ner") - Notebooks
- Google Colab
- Kaggle
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