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README.md

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+---
+license: isc
+tags:
+- biology
+- code
+- medical
+---
+
+# **TinyDNABERT**
+
+## 🌟 Overview
+
+**TinyDNABERT** is a specialized deep learning model designed for understanding the language of DNA and performing DNA sequence classification tasks. This model is a compact and efficient version of the **DNABERT** model, optimized to reduce memory usage while maintaining high performance. TinyDNABERT is particularly well-suited for tasks where computational efficiency and fast inference times are crucial.
+
+This repository provides all the necessary scripts and configurations to fine-tune TinyDNABERT on various DNA-related tasks using **LoRA (Low-Rank Adaptation)** configurations, enabling efficient adaptation to specific DNA sequence classification problems.
+
+🚀 **Key Features:**
+- **Compact & Efficient:** Smaller memory footprint with fast inference times.
+- **LoRA Fine-Tuning:** Leverage Low-Rank Adaptation for quick and effective model tuning.
+- **Task-Specific Adaptability:** Fine-tune the model for various DNA-related tasks with ease.
+
+Please Cite As:
+
+@misc{peerzada_fabiha_akmal_makhdoomi_2024,  
+    author       = {Peerzada Fabiha Akmal Makhdoomi, Nimisha Ghosh},  
+    title        = {TinyDNABERT},  
+    year         = 2024,  
+    url          = {https://huggingface.co/fabihamakhdoomi/TinyDNABERT},  
+    doi          = {10.57967/hf/2886},  
+    publisher    = {Hugging Face}  
+}