Update README.md

README.md

@@ -17,7 +17,7 @@ The SpecTUS model pretrained on synth2_2x4.7M for 2x112k steps.
 
 The model is a Transformer-based neural network trained to elucidate molecular structures from GC-EI-MS spectra.
 The model was pretrained on a large dataset of 9.4M synthetic spectra generated from two identical sets of 4.7M
-compounds using the NEIMS [1] and RASSP [2] models. 
+compounds using the [NEIMS] and [RASSP] models. 
 
 We mainly aimed to give the model an understanding of the chemical space of small molecules. The training was 
 conducted with a batch size of 128 for 224,000 steps, allowing the model to process each of the 9.4 million spectra approximately three times.
@@ -30,9 +30,9 @@ These results suggest that during the pretraining phase, the model successfully
 weight and m/z values, forming a good foundation for subsequent finetuning.
 
 
-The full code we used for the data processing, finetuning, evaluation model comparison and more can be found in our GitHub repository [3].
+The full code we used for the data processing, finetuning, evaluation model comparison and more can be found in [our GitHub repository].
 
 
-[1]: https://github.com/brain-research/deep-molecular-massspec
-[2]: https://github.com/thejonaslab/rassp-public
-[3]: !! <TODO>
+[NEIMS]: https://github.com/brain-research/deep-molecular-massspec
+[RASSP]: https://github.com/thejonaslab/rassp-public
+[our GitHub repository]: !TODO!