Update README.md

README.md

@@ -55,7 +55,7 @@ The data encodes midi information as encoded text. Here are some examples of wha
 
 Training was done through Google Colab's free tier, using a single 15GB Tesla T4 GPU.
 Training was logged through Weights and Biases.
-A link to the full training notebook can be found [here](https://colab.research.google.com/drive/1uvv-ChthIrmEJMBOVyL7mTm4dcf4QZq7#scrollTo=34kpyWSnaJE1)
+A link to the full training notebook can be found [here](https://colab.research.google.com/drive/1uvv-ChthIrmEJMBOVyL7mTm4dcf4QZq7#scrollTo=90KN1wRGWshW)
 
 ### Training hyperparameters
 
@@ -124,6 +124,7 @@ The following hyperparameters were used during training:
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 The sections below this point serve as a user guide for the Hugging Face space found [here](https://huggingface.co/spaces/Katpeeler/Midi_space2).
+The Google Colab notebook that goes with this can be found [here](https://colab.research.google.com/drive/1uvv-ChthIrmEJMBOVyL7mTm4dcf4QZq7#scrollTo=90KN1wRGWshW)
 
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@@ -166,7 +167,7 @@ Additionaly, you may select the "Token Generation" tab, and click the "show gene
 
 ## Documentation
 
-You can view the Google Colab notebook used for training [here](https://colab.research.google.com/drive/1uvv-ChthIrmEJMBOVyL7mTm4dcf4QZq7#scrollTo=qWq2lY0vWFTD).
+You can view the Google Colab notebook used for training [here](https://colab.research.google.com/drive/1uvv-ChthIrmEJMBOVyL7mTm4dcf4QZq7#scrollTo=90KN1wRGWshW).
 
 
 - The demo is currently hosted as a Gradio application on Hugging Face Spaces.