OpenMed/OpenMed NER GenomeDetect ModernMed 149M

NER model for genome detection in medical texts

EstablishedOpen SourceLow lock-in

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Flat rate

Adoption

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License

Open Source

Data freshness

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Overview

What is OpenMed/OpenMed NER GenomeDetect ModernMed 149M?

A token-classification model designed to detect named entities related to genomes within modern medical literature, aiding researchers and practitioners in extracting relevant genomic information.

Key differentiator

“This model is uniquely tailored for genome detection in medical texts, offering high precision and recall specifically for this domain.”

Capability profile

Strength Radar

Honest assessment

Strengths & Weaknesses

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Specialized for genome detection in medical texts

High accuracy in named entity recognition tasks

Based on the transformers library

Fit analysis

Who is it for?

✓ Best for

Teams working on genomics projects who need precise named entity recognition in medical texts

Medical researchers looking to automate the extraction of genomic data from literature

✕ Not a fit for

Projects requiring real-time processing of large volumes of text

Applications that require multi-lingual support beyond English

Cost structure

Pricing

Free Tier

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Model

Flat rate

Enterprise

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Performance benchmarks

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Next step

Get Started with OpenMed/OpenMed NER GenomeDetect ModernMed 149M

Step-by-step setup guide with code examples and common gotchas.

View Setup Guide →