Token Classification
Transformers
Safetensors
deberta-v2
ner
pii
privacy
gdpr
mdeberta
multilingual
Eval Results (legacy)
Instructions to use exdsgift/NerGuard-0.3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use exdsgift/NerGuard-0.3B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="exdsgift/NerGuard-0.3B")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("exdsgift/NerGuard-0.3B") model = AutoModelForTokenClassification.from_pretrained("exdsgift/NerGuard-0.3B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 265c14c21508c8cdacca1dd6eee2004d140cd6eb973e52eaf52e4e04fcacd00d
- Size of remote file:
- 5.84 kB
- SHA256:
- dadc660243ba73ca6f54d89341db96ac35132d8cb057669ffea56bca66e18f28
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