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
- Xet hash:
- ddcd039ca2ac0e335b18df930691a9c301c0d1b354d28de10ee38bbbad11c819
- Size of remote file:
- 5.84 kB
- SHA256:
- e54f0d4c1a5b4d7460337789cf28ffb6bcd506d6d8374c066a1aace9b0e288a7
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