Token Classification
Transformers
Safetensors
English
Russian
Ukrainian
xlm-roberta
ner
pii
Eval Results (legacy)
Instructions to use scanpatch/pii-ner-nemotron with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use scanpatch/pii-ner-nemotron with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="scanpatch/pii-ner-nemotron")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("scanpatch/pii-ner-nemotron") model = AutoModelForTokenClassification.from_pretrained("scanpatch/pii-ner-nemotron", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
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