Token Classification
Transformers
Safetensors
English
longformer
medical
clinical
ner
de-identification
phi
hipaa
healthcare
Instructions to use riggsmed/deid-LONGFORMER-NemPII with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use riggsmed/deid-LONGFORMER-NemPII with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="riggsmed/deid-LONGFORMER-NemPII")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("riggsmed/deid-LONGFORMER-NemPII") model = AutoModelForTokenClassification.from_pretrained("riggsmed/deid-LONGFORMER-NemPII", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!