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
- Xet hash:
- f948c2b47ca899b850f508187adabc591b9bdd5e01fd80ca18c0eeb87dad09b1
- Size of remote file:
- 5.2 kB
- SHA256:
- 796cdd24db8f82f566992e148369fa5e65c3c1ce6d10601c9665b017ca1411f6
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