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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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  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: 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 Details
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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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  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/specter2_proximity](https://huggingface.co/allenai/specter2_proximity).**
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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 Details
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