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README.md
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@@ -13,7 +13,7 @@ SPECTER 2.0 is the successor to [SPECTER](https://huggingface.co/allenai/specter
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This is the base model to be used along with the adapters.
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Given the combination of title and abstract of a scientific paper or a short texual query, the model can be used to generate effective embeddings to be used in downstream applications.
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**Note:For general embedding purposes, please use [allenai/
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**To get the best performance on a downstream task type please load the associated adapter with the base model as in the example below.**
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@@ -57,7 +57,7 @@ It builds on the work done in [SciRepEval: A Multi-Format Benchmark for Scientif
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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/
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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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This is the base model to be used along with the adapters.
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| 14 |
Given the combination of title and abstract of a scientific paper or a short texual query, the model can be used to generate effective embeddings to be used in downstream applications.
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| 15 |
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**Note:For general embedding purposes, please use [allenai/specter2](https://huggingface.co/allenai/specter2).**
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**To get the best performance on a downstream task type please load the associated adapter with the base model as in the example below.**
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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)|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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| 63 |
|Regression|[allenai/specter2_regression](https://huggingface.co/allenai/specter2_regression)|Encode papers to feed into linear regressors as features|
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