Update README.md

README.md

@@ -21,10 +21,12 @@ tags:
 
 Large time-series model introduced in this [paper](https://arxiv.org/abs/2402.02368) and enhanced with our [further work](https://arxiv.org/abs/2410.04803).
 
-This version is pre-trained on **260B** time points with **84M** parameters, a lightweight generative Transformer for zero-shot point forecasting:
+This version is pre-trained on **260B** time points with **84M** parameters, a lightweight generative Transformer for zero-shot point forecasting.
 
 We evaluate the model on the following benchmark: [TSLib Dataset](https://cdn-uploads.huggingface.co/production/uploads/64fbe24a2d20ced4e91de38a/VAfuvvqBALLvQUXYJPZJx.png).
 
+For more information, please see the [Github Repo](https://github.com/thuml/Large-Time-Series-Model).
+
 # Quickstart
 ```
 pip install transformers==4.40.1 # Use this version and Python 3.10 for stable compatibility
@@ -48,7 +50,7 @@ output = model.generate(seqs, max_new_tokens=prediction_length)
 print(output.shape)
 ```
 
-A notebook example is also provided [here](https://huggingface.co/thuml/timer-1.1-84m/blob/main/quickstart_zero_shot.ipynb). Try it out!
+A notebook example is also provided [here](https://github.com/thuml/Large-Time-Series-Model/blob/main/examples/quickstart_zero_shot.ipynb). Try it out!
 
 ## Specification