Update README.md

README.md

@@ -1,3 +1,22 @@
 ---
+tags:
+  - DNA
 license: mit
 ---
+
+## MiniDNA mini model
+
+This is a distilled version of [DNABERT](https://github.com/jerryji1993/DNABERT) by using MiniLM technique. It has a BERT architecture with 3 layers and 384 hidden units, pre-trained on 6-mer DNA sequences. For more details on the pre-training scheme and methods, please check the original thesis report _[link to be added]_.
+
+
+## How to Use  
+
+The model can be used to fine-tune on a downstream genomic task, e.g. promoter identification.
+
+```python
+import torch
+from transformers import BertForSequenceClassification
+model = BertForSequenceClassification.from_pretrained('Peltarion/dnabert-minilm-mini')
+```
+
+More details on how to fine-tune the model, dataset and additional source codes are available on [github.com/joanaapa/Distillation-DNABERT-Promoter](https://github.com/joanaapa/Distillation-DNABERT-Promoter).