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@@ -31,7 +31,7 @@ pipeline_tag: text-classification
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  [![Framework: PyTorch](https://img.shields.io/badge/Framework-PyTorch-orange.svg)](https://pytorch.org/)
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  [![Task: Text Classification](https://img.shields.io/badge/Task-Text%20Classification-blueviolet.svg)](https://huggingface.co/tasks/text-classification)
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  [![Language: Python](https://img.shields.io/badge/Language-Python-3776AB.svg?logo=python&logoColor=white)](https://www.python.org/)
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- [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](LINK_DO_SEU_COLAB_AQUI)
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  # RobertaBioClass 🧬
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  **RobertaBioClass** is a fine-tuned RoBERTa model designed to distinguish biological texts from other general topics. It was trained to filter large datasets, prioritizing high recall to ensure relevant biological content is captured.
 
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  [![Framework: PyTorch](https://img.shields.io/badge/Framework-PyTorch-orange.svg)](https://pytorch.org/)
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  [![Task: Text Classification](https://img.shields.io/badge/Task-Text%20Classification-blueviolet.svg)](https://huggingface.co/tasks/text-classification)
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  [![Language: Python](https://img.shields.io/badge/Language-Python-3776AB.svg?logo=python&logoColor=white)](https://www.python.org/)
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  # RobertaBioClass 🧬
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  **RobertaBioClass** is a fine-tuned RoBERTa model designed to distinguish biological texts from other general topics. It was trained to filter large datasets, prioritizing high recall to ensure relevant biological content is captured.