Token Classification
Transformers
TensorBoard
Safetensors
English
bert
PII
NER
Bert
Token Classification
Eval Results (legacy)
Instructions to use ab-ai/pii_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ab-ai/pii_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ab-ai/pii_model")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ab-ai/pii_model") model = AutoModelForTokenClassification.from_pretrained("ab-ai/pii_model") - Notebooks
- Google Colab
- Kaggle
Dataset used to test the model
#6
by qoobeeshy - opened
Hello,
First of all, thanks for your contribution!
You have claimed that the model has an accuracy of more than 99%. I was wondering which dataset was used to test that? Did the dataset contain only samples with PII? Or did it have data without PII as well.
Thanks again!