Update README.md

README.md

@@ -1,3 +1,51 @@
 ---
 license: apache-2.0
+language:
+- en
+tags:
+- text-classification
+- evaluation
+- deberta
+- transformers
+pipeline_tag: text-classification
+base_model:
+- microsoft/deberta-v3-small
+library_name: transformers
 ---
+# 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
+
+```python
+from transformers import pipeline
+
+clf = pipeline(
+    "text-classification",
+    model="asycv/zLoLA-V-p-classifier"
+)
+
+clf("Explain transformers in simple terms.")