zLoLA-V Quality Classifier

A lightweight classification model built on DeBERTa-v3-small for analyzing input structure, clarity, and intent categories.

Labels

  • clear
  • vague
  • unsafe
  • overloaded
  • technical
  • creative

Intended Uses

  • Input dataset filtering
  • Evaluation workflows
  • Input quality inspection
  • Safety preprocessing

Base Model

This model is fine-tuned from:

  • microsoft/deberta-v3-small

Example

from transformers import pipeline

clf = pipeline(
    "text-classification",
    model="asycv/zLoLA-V-p-classifier"
)

clf("Explain transformers in simple terms.")
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