allenai/specter2_base
feature-extraction model by allenai
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Model card & documentation
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SPECTER2 is the successor to SPECTER and is capable of generating task specific embeddings for scientific tasks when paired with adapters. This is the base model to be used along with the adapters. 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. Note:For general embedding purposes, please use allenai/specter2. To get the best performance on a downstream task type please load the associated adapter with the base model as in the example below. Dec 2023 Update: Model usage updated to be compatible with latest versions of transformers and adapters (newly released update to adapter-transformers) libraries. Aug 2023 Update: However, for benchmarking purposes, please continue using the current version. An adapter for the allenai/specter2base model that was trained on the allenai/scirepeval dataset. This adapter was created for usage with…
Read the full model card ↗ · Preview checked 2026-10-30T14:43:57.530Z
Inside the original model card — Document outline
- SPECTER2
- Model Details
- Model Description
- Model Sources
- Uses
- Direct Use
- Downstream Use
- Training Details
- Training Data
- Training Procedure
- Training Hyperparameters
- Evaluation
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Model overview
allenai/specter2_base is a feature-extraction model repository published by allenai on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- feature-extraction
- Library
- transformers
- Recent downloads (30 days)
- 706,749
- Cumulative likes
- 57
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- BertModel
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2023-02-16T21:25:53.000Z
- Last modified
- 2024-12-04T07:45:10.000Z
Compatibility and lineage
Reported languages: en
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:54:29.511Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.