nvidia
/

llama-nemotron-rerank-1b-v2

text-classification

semantic-search

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ybabakhin commited on 15 days ago

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@@ -268,7 +268,7 @@ Visit the [NeMo Retriever docs page](https://docs.nvidia.com/nemo/retriever/inde
 | Field | Response |
 | ----- | ----- |
-| Intended Application & Domain: | Passage and query embedding for question and answer retrieval |
 | Model Type: | Transformer encoder |
 | Intended User: | Generative AI creators working with conversational AI models - users who want to build a multilingual question and answer application over a large text corpus, leveraging the latest dense retrieval technologies. |
 | Output: | Array of float numbers (Dense Vector Representation for the input text) |

 | Field | Response |
 | ----- | ----- |
+| Intended Application & Domain: | Passage ranking for question and answer retrieval |
 | Model Type: | Transformer encoder |
 | Intended User: | Generative AI creators working with conversational AI models - users who want to build a multilingual question and answer application over a large text corpus, leveraging the latest dense retrieval technologies. |
 | Output: | Array of float numbers (Dense Vector Representation for the input text) |