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**Aug 2023 Update:
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|Old Name|New Name|
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|allenai/specter2|[allenai/specter2_base](https://huggingface.co/allenai/specter2_base)|
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|allenai/specter2_proximity|[allenai/specter2](https://huggingface.co/allenai/specter2)|
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<!-- Provide a quick summary of what the model is/does. -->
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SPECTER 2.0 is the successor to [SPECTER](https://huggingface.co/allenai/specter) and is capable of generating task specific embeddings for scientific tasks when paired with [adapters](https://huggingface.co/models?search=allenai/specter-2_).
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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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language:
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- en
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**Aug 2023 Update:**
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1. The SPECTER 2.0 Base and proximity adapter models have been renamed in Hugging Face based upon usage patterns as follows:**
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|Old Name|New Name|
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|--|--|
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|allenai/specter2|[allenai/specter2_base](https://huggingface.co/allenai/specter2_base)|
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|allenai/specter2_proximity|[allenai/specter2](https://huggingface.co/allenai/specter2)|
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<!-- Provide a quick summary of what the model is/does. -->
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# SPECTER 2.0 (Base)
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SPECTER 2.0 is the successor to [SPECTER](https://huggingface.co/allenai/specter) and is capable of generating task specific embeddings for scientific tasks when paired with [adapters](https://huggingface.co/models?search=allenai/specter-2_).
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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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