Token Classification
Transformers
Safetensors
English
Chinese
distilbert
pii-detection
ner
presidio
gdpr
ccpa
hong-kong
singapore
china
Instructions to use lbsavf3t/rail-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lbsavf3t/rail-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="lbsavf3t/rail-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("lbsavf3t/rail-v2") model = AutoModelForTokenClassification.from_pretrained("lbsavf3t/rail-v2") - Notebooks
- Google Colab
- Kaggle
Commit History
Initial upload: rail-v2 with HK/SG business entities (F_beta5=0.986) b0b6d86 verified
Jackson Oh commited on
initial commit 9a37b42 verified
Jackson Oh commited on