# 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")Quick Links
DistilBERT Fraud Detection
This is the model card of a 🤗 transformers model that has been pushed on the Hub.
A fine-tuned distilbert-base-uncased model for binary classification (fraud detection).
- Developed by: Model Specialization Lab
- Model type: Classification
- Finetuned from model : distilbert/distilbert-base-uncased
Evaluation Metrics
See eval_metrics.json for detailed metrics.
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Model tree for ModSpecialization/distilbert-base-uncased-fraud-classifer
Base model
distilbert/distilbert-base-uncased
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ModSpecialization/distilbert-base-uncased-fraud-classifer")