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