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
| pipeline_tag: text-classification | |
| library_name: transformers | |
| language: | |
| - en | |
| tags: | |
| - finance | |
| - transaction-classification | |
| # 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. | |