Merge branch 'main' of https://huggingface.co/Gurveer05/FloraBERT

README.md

@@ -11,4 +11,20 @@ Currently, this model is trained on **7.1 million Plant DNA promoter sequences**
 
 References:
 - [GitHub Repository](https://github.com/gurveervirk/florabert/)
-- [Kaggle Dataset](https://www.kaggle.com/datasets/gurveersinghvirk/florabert-base)
+- [Kaggle Dataset](https://www.kaggle.com/datasets/gurveersinghvirk/florabert-base)
+
+To get predictions from **DNA promoter sequences of plants**, add your text file containing the sequences (1 sequence per line) to the data folder and call the main() function from prediction.py with your file name.
+For example
+
+- Update ```main("test.txt")``` with your file name
+- Now, run ```python prediction.py```
+
+The results will be visible in tabular format in the console.
+For example,
+| tassel |  base  | anther | middle |  ear   | shoot  |  tip   |  root  |
+|--------|--------|--------|--------|--------|--------|--------|--------|
+| 0.4235 | 0.3031 | 0.3657 | 0.3663 | 0.2787 | 0.3809 | 0.4167 | 0.2861 |
+
+The values in the table correspond to TPM values for the tissues in the plants. TPM values are normalized gene expression values.
+
+Both models can also be further used for more pretraining and finetuning. (Check references for further information)