Adapters
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bert
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@@ -37,7 +37,7 @@ datasets:
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  language:
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  - en
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- # SPECTER 2.0
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  <!-- Provide a quick summary of what the model is/does. -->
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@@ -57,6 +57,8 @@ Task Formats trained on:
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  - Proximity
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  - Adhoc Search
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  It builds on the work done in [SciRepEval: A Multi-Format Benchmark for Scientific Document Representations](https://api.semanticscholar.org/CorpusID:254018137) and we evaluate the trained model on this benchmark as well.
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  language:
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  - en
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  ---
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+ ## SPECTER 2.0
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  <!-- Provide a quick summary of what the model is/does. -->
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  - Proximity
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  - Adhoc Search
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+ This is the classification specific adapter. For generating embeddings which can be used as input to downstream classifiers like SVMs.
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  It builds on the work done in [SciRepEval: A Multi-Format Benchmark for Scientific Document Representations](https://api.semanticscholar.org/CorpusID:254018137) and we evaluate the trained model on this benchmark as well.
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