Instructions to use jonjimenez/transaction-categorization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jonjimenez/transaction-categorization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jonjimenez/transaction-categorization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jonjimenez/transaction-categorization") model = AutoModelForSequenceClassification.from_pretrained("jonjimenez/transaction-categorization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
Este modelo fue construido para categorizar transacciones financieras, principalmente con la información de la entidad de destino como figura en los extractos bancarios. Categoriza en 12 categorías, entre ellas:
- Bank Transfers: Label_0
- Entertainment: Label_1
- Food & Drink: Label_2
- General Merchandise: Label_3
- General Services: Label_4
- Government + Non-Profit: Label_5
- Income: Label_6
- Loans: Label_7
- Medical: Label_8
- Rent & Utilities: Label_9
- Transportation: Label_10
- Travel: Label_11
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