Text Classification
Transformers
PyTorch
roberta
Inference Endpoints
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  ## Description:
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- `nasa-smd-ibm-ranker` is a encoder based model that takes a search query, and a passage, and calculates the relevancy of the passage to the query. This is used in conjunction with sentence transformers to re-rank the passages matched by the sentence transformer, there-by improving relevance of Information Retrieval processes.
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  The Model is Finetuned using MS-Marco, and tested using Science QA datasets.
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  ## Description:
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+ `nasa-smd-ibm-ranker` (INDUS Ranker) is a encoder based model that takes a search query, and a passage, and calculates the relevancy of the passage to the query. This is used in conjunction with sentence transformers to re-rank the passages matched by the sentence transformer, there-by improving relevance of Information Retrieval processes.
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  The Model is Finetuned using MS-Marco, and tested using Science QA datasets.
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