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[](https://github.com/omicsNLP/microbELP)
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[](https://github.com/omicsNLP/microbELP/blob/main/LICENSE)
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# 🦠 MicrobELP — Microbiome Entity Recognition
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MicrobELP is a deep learning model for Microbiome Entity Recognition, identifying microbial entities (bacteria, archaea, fungi) in biomedical and scientific text.
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It is part of the [microbELP](https://github.com/omicsNLP/microbELP) toolkit and has been optimised for CPU and GPU inference.
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This model enables automated extraction of microbiome names from unstructured text, facilitating microbiome-related text mining and literature curation.
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## 🚀 Quick Start (Hugging Face)
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[](https://github.com/omicsNLP/microbELP)
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[](https://github.com/omicsNLP/microbELP/blob/main/LICENSE)
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# 🦠 MicrobELP — Microbiome Entity Recognition and Normalisation
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MicrobELP is a deep learning model for Microbiome Entity Recognition and Normalisation, identifying microbial entities (bacteria, archaea, fungi) in biomedical and scientific text.
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It is part of the [microbELP](https://github.com/omicsNLP/microbELP) toolkit and has been optimised for CPU and GPU inference.
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This model enables automated extraction of microbiome names from unstructured text, facilitating microbiome-related text mining and literature curation.
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We also provide an Named Entity Normalisation model on Hugging Face: [](https://huggingface.co/omicsNLP/microbELP_NEN)
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## 🚀 Quick Start (Hugging Face)
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