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- metagenomics
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- bigbird
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**Model Overview:**
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The model presented in this paper builds on the BigBird architecture with a similar approach detailed in our paper titled "Leveraging Large Language Models for Metagenomic Analysis" This model is optimized to enhance the performance of BigBird for large gene sequence data. Trained specifically on gene sequences, it aims to uncover valuable insights within metagenomic data and is evaluated across various tasks, including classification and sequence embedding.
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6 |
- metagenomics
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7 |
- bigbird
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8 |
---
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9 |
+
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10 |
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11 |
**Model Overview:**
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12 |
The model presented in this paper builds on the BigBird architecture with a similar approach detailed in our paper titled "Leveraging Large Language Models for Metagenomic Analysis" This model is optimized to enhance the performance of BigBird for large gene sequence data. Trained specifically on gene sequences, it aims to uncover valuable insights within metagenomic data and is evaluated across various tasks, including classification and sequence embedding.
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