Model description: deberta-v3-large-56k-text-classification

A fine-tuned model based on MoritzLaurer/deberta-v3-large-zeroshot-v1.1-all-33 for the task of multi-class text classification.

Classification into 4 domains:

• housing and utilities (14k)
• education (12k)
• healthcare (13k)
• other (18k)

The model was fine-tuned on a dataset consisting of 56k data entries.

How to use the model

Simple text classification pipeline

from transformers import pipeline

model_name = "leinms/deberta-v3-large-56k-text-classification"

classifier = pipeline("text-classification", model=model_name)

text = "Передать показания и внести оплату за воду"

result = classifier(text)

print(result)