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)
- Downloads last month
- 56
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.