ModSpecialization/Credit_Card_Transaction_Dataset
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How to use ModSpecialization/distilbert-base-uncased-fraud-classifer with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="ModSpecialization/distilbert-base-uncased-fraud-classifer") # pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("ModSpecialization/distilbert-base-uncased-fraud-classifer")
model = AutoModelForSequenceClassification.from_pretrained("ModSpecialization/distilbert-base-uncased-fraud-classifer", device_map="auto")This is the model card of a π€ transformers model that has been pushed on the Hub.
A fine-tuned distilbert-base-uncased model for binary classification (fraud detection).
See eval_metrics.json for detailed metrics.
Base model
distilbert/distilbert-base-uncased