Instructions to use omshikhare/dbert_pii_detection_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use omshikhare/dbert_pii_detection_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="omshikhare/dbert_pii_detection_model")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("omshikhare/dbert_pii_detection_model") model = AutoModelForTokenClassification.from_pretrained("omshikhare/dbert_pii_detection_model") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("omshikhare/dbert_pii_detection_model")
model = AutoModelForTokenClassification.from_pretrained("omshikhare/dbert_pii_detection_model")Quick Links
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="omshikhare/dbert_pii_detection_model")