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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
815d3c9 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:dadc660243ba73ca6f54d89341db96ac35132d8cb057669ffea56bca66e18f28
size 5841
|