Text Classification
Transformers
Safetensors
English
distilbert
finance
transaction-classification
text-embeddings-inference
Instructions to use killykilly/nigerian-transaction-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use killykilly/nigerian-transaction-classifier with Transformers:
# 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") - Notebooks
- Google Colab
- Kaggle
| ["Bank Charges & Fees", "Bills & Utilities", "Education", "Entertainment", "Food & Dining", "Health", "Investment", "Mobile Money", "Own Transfer", "Refund", "Rent", "Salary", "Savings", "Shopping", "Transfer In", "Transfer Out", "Transport"] |