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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b6391a37caf3f2ab2bcd53553e80e0245fa66632395bb58c368f817b41dbe761
- Size of remote file:
- 17.1 MB
- SHA256:
- c5c4016d8a8bd86269ac4af33cd40b85f148d2ffcc4f5fd5ad35225a007cf4c2
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