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README.md

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-Edit this `README.md` markdown file to author your organization card 🔥
+# Neural Bioinformatics Research Group - ProkBERT Models
+
+Welcome to the official Hugging Face organization for the Neural Bioinformatics Research Group. Our main goal is to provide genomic language models for microbiome applications.
+
+## Models
+
+We provide access to a collection of pretrained and fine-tuned models from the ProkBERT family. These models are built on the Local Context Aware (LCA) tokenization, specifically tailored for DNA sequences to balance context size and performance.
+
+ProkBERT models are designed for microbiome-related tasks, such as prokaryote promoter identification or phage detection. Despite their compact size, they are powerful and efficient.
+
+## Model Overview
+
+| Model         | Parameters | Tokenizer        | Layers | Attention Heads | Max. Context Size | Training Data      |
+|---------------|------------|------------------|--------|-----------------|-------------------|---------------------|
+| `mini`        | 20.6M      | 6-mer, shift=1   | 6      | 6               | 1027 nt           | 206.65 billion     |
+| `mini-c`      | 24.9M      | 1-mer            | 6      | 6               | 1022 nt           | 206.65 billion     |
+| `mini-long`   | 26.6M      | 6-mer, shift=2   | 6      | 6               | 4096 nt           | 206.65 billion     |
+
+_A comprehensive overview of model parameters across varied configurations._
+
+## Resources
+
+- [Read our paper](https://www.frontiersin.org/articles/10.3389/fmicb.2023.1331233/full)
+- [Learn more about the model](https://github.com/nbrg-ppcu/prokbert)
+- [Get started with code on GitHub](https://github.com/nbrg-ppcu/prokbert)
+
+---
+
+For more information or questions, please visit our [GitHub repository](https://github.com/nbrg-ppcu/prokbert) or contact us at [email]([email protected]).