Token Classification
Transformers
Safetensors
English
Chinese
distilbert
pii-detection
ner
presidio
gdpr
ccpa
hong-kong
singapore
china
Instructions to use ohhsj/rail-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ohhsj/rail-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ohhsj/rail-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ohhsj/rail-v2") model = AutoModelForTokenClassification.from_pretrained("ohhsj/rail-v2") - Notebooks
- Google Colab
- Kaggle
File size: 1,162 Bytes
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