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pax-k
/
privacy-filter-mini2

Token Classification
Transformers
TensorBoard
ONNX
Safetensors
modernbert
Trained with AutoTrain
Model card Files
xet
 Metrics Community
How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("token-classification", model="pax-k/privacy-filter-mini2")
# Load model directly
from transformers import AutoTokenizer, AutoModelForTokenClassification

tokenizer = AutoTokenizer.from_pretrained("pax-k/privacy-filter-mini2")
model = AutoModelForTokenClassification.from_pretrained("pax-k/privacy-filter-mini2", device_map="auto")
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Model Trained Using AutoTrain

  • Problem type: Token Classification

Validation Metrics

loss: 0.2570085823535919

precision: 0.758298755186722

recall: 0.78419452887538

f1: 0.7710292695789751

accuracy: 0.9033240375677148

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Model size
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Tensor type
F32
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