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BioLinkBERT Base

michiyasunaga

💬

BioLinkBERT-base is a text classification model specifically trained for biomedical domain tasks. It is based on the BERT architecture and has been fine-tuned on a large dataset of biomedical literature. This model can be used for various natural language processing tasks such as entity recognition, relation extraction, and document classification in the biomedical domain. It has achieved high performance on benchmark datasets and can provide valuable insights for research and development in the field of biomedicine.

Use cases

BioLinkBERT-base has several potential use cases in the biomedical domain. One possible use is for entity recognition, where the model can identify and classify specific entities such as genes, proteins, chemicals, diseases, and treatments in biomedical texts. This can assist researchers in extracting relevant information from large volumes of scientific literature. Another use case is relation extraction, where the model can identify relationships between entities, such as the association between a drug and a disease, based on textual evidence. This can help in building knowledge graphs or in understanding complex biological interactions. Additionally, BioLinkBERT-base can be used for document classification, allowing researchers to automatically categorize scientific papers, clinical reports, or patents into relevant topics. This can facilitate literature review, data analysis, and information retrieval. Overall, BioLinkBERT-base has the potential to support various research and development applications in the field of biomedicine, enabling scientists to unlock valuable insights and accelerate discoveries. Possible products or practical uses of this model could include AI-powered search engines for biomedical literature, automated annotation tools for biomedical databases, and recommendation engines for personalized medical research.

text-classification

Pricing

Cost per run
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USD
Avg run time
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Hardware
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Prediction

Creator Models

ModelCostRuns
Bio Dragon$?0
BioLinkBERT Large$?2,812
LinkBERT Base$?2,065
LinkBERT Large$?31,344
Dragon$?0

Similar Models

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You can use this area to play around with demo applications that incorporate the BioLinkBERT Base model. These demos are maintained and hosted externally by third-party creators. If you see an error, message me on Twitter.

Currently, there are no demos available for this model.

Overview

Summary of this model and related resources.

PropertyValue
Creatormichiyasunaga
Model NameBioLinkBERT Base
Description
Platform did not provide a description for this model.
Tagstext-classification
Model LinkView on HuggingFace
API SpecView on HuggingFace
Github LinkNo Github link provided
Paper LinkNo paper link provided

Popularity

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PropertyValue
Runs8,154
Model Rank
Creator Rank

Cost

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PropertyValue
Cost per Run$-
Prediction Hardware-
Average Completion Time-