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  - text: "New studies regarding CRISPR technology show promise in gene editing."
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  example_title: "Genetics Example πŸ”¬"
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  ---
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- # DebertaBioClass πŸ§¬πŸ”
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  [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
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  [![Framework: PyTorch](https://img.shields.io/badge/Framework-PyTorch-orange.svg)](https://pytorch.org/)
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  [![Base Model: DeBERTa-v3](https://img.shields.io/badge/Base%20Model-DeBERTa%20v3-blue.svg)](https://huggingface.co/microsoft/deberta-v3-base)
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  **DebertaBioClass** is a fine-tuned DeBERTa-v3 model designed for **high-recall** filtering of biological texts. It excels at identifying biological content in large, noisy datasets, prioritizing "finding everything" even if it means capturing slightly more noise than other architectures.
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  ## Model Details
 
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  - text: "New studies regarding CRISPR technology show promise in gene editing."
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  example_title: "Genetics Example πŸ”¬"
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  ---
 
 
 
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  [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
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  [![Framework: PyTorch](https://img.shields.io/badge/Framework-PyTorch-orange.svg)](https://pytorch.org/)
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  [![Base Model: DeBERTa-v3](https://img.shields.io/badge/Base%20Model-DeBERTa%20v3-blue.svg)](https://huggingface.co/microsoft/deberta-v3-base)
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+ # DebertaBioClass 🧬
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  **DebertaBioClass** is a fine-tuned DeBERTa-v3 model designed for **high-recall** filtering of biological texts. It excels at identifying biological content in large, noisy datasets, prioritizing "finding everything" even if it means capturing slightly more noise than other architectures.
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  ## Model Details