metadata
language: en
library_name: transformers
pipeline_tag: text2text-generation
base_model: google/flan-t5-base
license: apache-2.0
tags:
- text2text
- property
- query-parser
🏠 Property Query Parser
This model helps extract structured information (like BHK, location, and possession date) from natural language property queries.
Example usage:
from transformers import pipeline
pipe = pipeline("text2text-generation", model="baarish/property-query-parser")
query = "Show me 2BHK flats in Pune with possession in 2025"
result = pipe(query)
print(result[0]['generated_text'])