Update README.md

README.md

@@ -40,8 +40,7 @@ the `rescaling_factor` of the Rotary Embedding layer in the esm model  `num_dna_
 (i.e 6669 for a sequence of 40008 base pairs) and `max_num_tokens_nt` is the max number of tokens on which the backbone nucleotide-transformer was trained on, i.e `2048`. 
 
 ![Open All Collab](https://colab.research.google.com/assets/colab-badge.svg)
-The `./inference_segment_nt.ipynb` notebook shows how to set the rescaling factor and infer on a 50kb sequence of the human chromosome 20 in order to reproduce Fig.3 of the
-paper.
+The `./inference_segment_nt.ipynb` notebook shows how to set the rescaling factor and infer on a 50kb genic sequence of the human chromosome 20. 
 
 ```python
 # Load model and tokenizer