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README.md
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library_name: transformers
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---
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# Model Card for Model ID
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Provides a relevance score for a given search query and a product (with title and description).
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Can be used as retriever/ranker for e-commerce search.
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Development details
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## How to use the model
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```python
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token_type_ids = token_type_ids)
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probs = F.softmax(output.logits, dim=-1)
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score = probs[0][1].item()
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print(score)
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---
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library_name: transformers
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inference: false
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license: apache-2.0
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---
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# Model Card for Model ID
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Provides a relevance score for a given search query and a product (with title and description).
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Can be used as retriever/ranker for e-commerce search.
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## Development details
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Model is trained with a novel adversarial Generator-Retriever framework.
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The details of the framework can be found [here](https://github.com/PraveenSH/adversarial-generator-retriever/blob/main/README.md).
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Notebook with the code is available [here](https://github.com/PraveenSH/adversarial-generator-retriever/blob/main/generator_retriever.ipynb)
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## How to use the model
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```python
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token_type_ids = token_type_ids)
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probs = F.softmax(output.logits, dim=-1)
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score = probs[0][1].item()
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print(score)
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