How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-classification", model="killykilly/nigerian-transaction-classifier")
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("killykilly/nigerian-transaction-classifier")
model = AutoModelForSequenceClassification.from_pretrained("killykilly/nigerian-transaction-classifier")
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Nigerian Transaction Classifier

Global first-pass classifier for stable Nigerian transaction categories. Runtime user-created categories are handled by personalized correction examples and an LLM fallback in the finance-analyzer application.

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Model size
67M params
Tensor type
F32
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