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@@ -76,13 +76,14 @@ It builds on the work done in [SciRepEval: A Multi-Format Benchmark for Scientif
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  ## Direct Use
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- |Model|Type|Name and HF link|
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  |--|--|--|
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- |Base|Transformer|[allenai/specter2](https://huggingface.co/allenai/specter2)|
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- |Classification|Adapter|[allenai/specter2_classification](https://huggingface.co/allenai/specter2_classification)|
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- |Regression|Adapter|[allenai/specter2_regression](https://huggingface.co/allenai/specter2_regression)|
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- |Retrieval|Adapter|[allenai/specter2_proximity](https://huggingface.co/allenai/specter2_proximity)|
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- |Adhoc Query|Adapter|[allenai/specter2_adhoc_query](https://huggingface.co/allenai/specter2_adhoc_query)|
 
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  ```python
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  from transformers import AutoTokenizer, AutoModel
 
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  ## Direct Use
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+ |Model|Name and HF link|Description|
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  |--|--|--|
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+ |Retrieval*|[allenai/specter2_proximity](https://huggingface.co/allenai/specter2_proximity)|Encode papers as queries and candidates eg. Link Prediction, Nearest Neighbor Search|
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+ |Adhoc Query|[allenai/specter2_adhoc_query](https://huggingface.co/allenai/specter2_adhoc_query)|Encode short raw text queries for search tasks. (Candidate papers can be encoded with proximity)|
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+ |Classification|[allenai/specter2_classification](https://huggingface.co/allenai/specter2_classification)|Encode papers to feed into linear classifiers as features|
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+ |Regression|[allenai/specter2_regression](https://huggingface.co/allenai/specter2_regression)|Encode papers to feed into linear regressors as features|
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+
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+ *Retrieval model should suffice for downstream task types not mentioned above
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  ```python
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  from transformers import AutoTokenizer, AutoModel