Update README.md

README.md

@@ -18,7 +18,6 @@ at an hourly rate. The columns are presented in the image below:
 
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6376481a48baeb86b0c3038b/DnLOpVnoBFJANEb7B44ny.png)
 
-The data is licensed per OpenWeather under the [odbl license](https://opendatacommons.org/licenses/odbl/).  
 
 ### Long Time Series Predictions
 
@@ -27,7 +26,8 @@ Clone the [Time-Series-Library](https://github.com/thuml/Time-Series-Library) re
 git clone https://github.com/thuml/Time-Series-Library.git
 ```
 
-For training the model create a folder called dataset. After that you can either modify the .sh files (for me it didn't work), or run the predict.ipynb file found in the Files Folder.
+For training the model create a folder called dataset. After that you can either modify the .sh files (for me it didn't work), or run the [predict.ipynb](https://huggingface.co/datasets/LaurentiuStancioiu/Cluj-Napoca-Weather-OpenWeather-data/blob/main/predict.ipynb)
+jupyter notebook.
 Alternatively, check the HuggingFace implementations for [Informer](https://huggingface.co/docs/transformers/model_doc/informer),
 [Autoformer](https://huggingface.co/docs/transformers/model_doc/autoformer), [Vanilla Transformer](https://huggingface.co/docs/transformers/model_doc/time_series_transformer),
 [PatchTST](https://huggingface.co/docs/transformers/model_doc/patchtst) and [PatchTSMixer](https://huggingface.co/docs/transformers/model_doc/patchtsmixer)
@@ -38,4 +38,6 @@ Without any hyperparameter tuning the results on this dataset were the following
 
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6376481a48baeb86b0c3038b/MQ3G4h7Y04ttSlXvdXCSw.png)
 
-A description of waht I did can be found [here]()
+A description of what I did to get to those results can be found [here](https://huggingface.co/datasets/LaurentiuStancioiu/Cluj-Napoca-Weather-OpenWeather-data/blob/main/Long%20Term%20Time%20Series%20Forecasting%20for%20Cluj-Napoca%20Weather%20Prediction.pdf). 
+Also, the trained checkpoints are [here](https://huggingface.co/datasets/LaurentiuStancioiu/Cluj-Napoca-Weather-OpenWeather-data/tree/main).  
+The data is licensed per OpenWeather under the [odbl license](https://opendatacommons.org/licenses/odbl/).