OpenMed/OpenMed NER DNADetect SuperMedical 125M
Advanced NLP model for medical named entity recognition and DNA detection.
Pricing
See website
Flat rate
Adoption
→StableLicense
Open Source
Data freshness
—Overview
What is OpenMed/OpenMed NER DNADetect SuperMedical 125M?
This Hugging Face model specializes in token classification tasks, particularly suited for identifying entities within medical texts and detecting DNA sequences. It is part of the OpenMed suite and has been downloaded over 163,572 times.
Key differentiator
“This model stands out due to its specialization in medical named entity recognition and DNA detection, making it particularly valuable for healthcare applications that require precise identification of entities within medical texts.”
Capability profile
Strength Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
Fit analysis
Who is it for?
✓ Best for
Teams working on healthcare applications that require precise entity recognition from medical texts.
Researchers analyzing large volumes of biomedical literature for specific named entities and DNA sequences.
✕ Not a fit for
Projects requiring real-time processing, as this model is designed for batch processing.
Applications outside the medical domain where specialized NER models are not necessary.
Cost structure
Pricing
Free Tier
None
Starts at
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Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Next step
Get Started with OpenMed/OpenMed NER DNADetect SuperMedical 125M
Step-by-step setup guide with code examples and common gotchas.