Token Classification
Transformers
Safetensors
deberta-v2
Generated from Trainer
pii
privacy
personaldata
redaction
piidetection
Instructions to use iiiorg/piiranha-v1-detect-personal-information with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iiiorg/piiranha-v1-detect-personal-information with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="iiiorg/piiranha-v1-detect-personal-information")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("iiiorg/piiranha-v1-detect-personal-information") model = AutoModelForTokenClassification.from_pretrained("iiiorg/piiranha-v1-detect-personal-information", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Incredible amount of false positives.
#10 opened over 1 year ago
by
anakaine
max context length 256 or 512 ?
#9 opened over 1 year ago
by
OrianeN
ONNX version of the model
๐ 1
1
#8 opened almost 2 years ago
by
asofter
Training code
โ 7
#7 opened almost 2 years ago
by
afshinO
Commercial Licensing
๐ 8
#6 opened almost 2 years ago
by
johngunerli
"Jane Doe" not detected as PII?
1
#5 opened almost 2 years ago
by
svanschalkwyk
Phone number format
#4 opened almost 2 years ago
by
Neman
It also works with (Taiwan's) Traditinal Chainese.
#3 opened almost 2 years ago
by
nps798
Can we convert it back into original text
๐ 5
#2 opened almost 2 years ago
by
Imran1