Merge branch 'main' into issue_38

Signed-off-by: Wesley M. Gifford <[email protected]>

README.md

@@ -1,4 +1,4 @@
-# tsfm
+# TSFM: Time Series Foundation Models
 Public notebooks and utilities for working with Time Series Foundation Models (TSFM)
 
 The core TSFM time series models have been made available on Hugging Face -- details can be found 
@@ -15,7 +15,7 @@ git clone [email protected]:IBM/tsfm.git
 cd tsfm
 ```
 
-## Notebooks Installation
+## 📕 Notebooks Installation
 Several notebooks are provided in the `notebooks` folder. They allow you to perform pre-training and finetuning on the models.
 To install use `pip`:
 
@@ -29,8 +29,11 @@ pip install ".[notebooks]"
 - Transfer learning with `PatchTST` [[Try it out]](https://github.com/IBM/tsfm/blob/main/notebooks/hfdemo/patch_tst_transfer.ipynb)
 - Getting started with `TinyTimeMixer (TTM)` [Try it out](notebooks/hfdemo/ttm_getting_started.ipynb)
 
+## 📗 Google Colab
+Run the TTM tutorial in Google Colab, and quickly build a forecasting application with pre-trained TSFM models.
+- [TTM Colab Tutorial](https://colab.research.google.com/github/IBM/tsfm/blob/tutorial/notebooks/tutorial/ttm_tutorial.ipynb) 
 
-## Demos Installation
+## 💻 Demos Installation
 The demo presented at NeurIPS 2023 is available in `tsfmhfdemos`. This demo requires you to have pre-trained and finetuned models in place (we plan to release these at later date). To install the requirements use `pip`:
 
 ```bash
@@ -48,4 +51,4 @@ Before opening a new issue, please search for similar issues. It's possible that
 The intention of this repository is to make it easier to use and demonstrate IBM Research TSFM components that have been made available in the [Hugging Face transformers library](https://huggingface.co/docs/transformers/main/en/index). As we continute to develop these capabilities we will update the code here.
 
 
-IBM Public Repository Disclosure: All content in this repository including code has been provided by IBM under the associated open source software license and IBM is under no obligation to provide enhancements, updates, or support. IBM developers produced this code as an open source project (not as an IBM product), and IBM makes no assertions as to the level of quality nor security, and will not be maintaining this code going forward.
+IBM Public Repository Disclosure: All content in this repository including code has been provided by IBM under the associated open source software license and IBM is under no obligation to provide enhancements, updates, or support. IBM developers produced this code as an open source project (not as an IBM product), and IBM makes no assertions as to the level of quality nor security, and will not be maintaining this code going forward.