Merge pull request #145 from ibm-granite/ttm_v2_release

TTM V2 updates
ibm-granite · Oct 18, 2024 · 9484de7 · 9484de7
2 parents c6390e8 + 79566b3
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diff --git a/README.md b/README.md
@@ -30,8 +30,8 @@ pip install ".[notebooks]"
 - Getting started with `TinyTimeMixer (TTM)` [[Try it out]](https://github.com/ibm-granite/granite-tsfm/blob/main/notebooks/hfdemo/ttm_getting_started.ipynb)
 
 ## 📗 Google Colab Tutorials
-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/main/notebooks/tutorial/ttm_tutorial.ipynb) 
+Run the TTM tutorial in Google Colab, and quickly build a forecasting application with the pre-trained TSFM models.
+- [TTM Colab Tutorial](https://colab.research.google.com/github/ibm-granite/granite-tsfm/blob/main/notebooks/hfdemo/ttm_getting_started.ipynb) 
 
 ## 💻 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 a later date). To install the requirements use `pip`:

diff --git a/notebooks/hfdemo/patch_tsmixer_getting_started.ipynb b/notebooks/hfdemo/patch_tsmixer_getting_started.ipynb
@@ -883,7 +883,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.13"
+   "version": "3.9.12"
   }
  },
  "nbformat": 4,

diff --git a/notebooks/hfdemo/patch_tsmixer_transfer.ipynb b/notebooks/hfdemo/patch_tsmixer_transfer.ipynb
@@ -1465,7 +1465,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.4"
+   "version": "3.9.12"
   }
  },
  "nbformat": 4,

diff --git a/notebooks/hfdemo/patch_tst_getting_started.ipynb b/notebooks/hfdemo/patch_tst_getting_started.ipynb
@@ -1,6 +1,7 @@
 {
  "cells": [
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+   "attachments": {},
    "cell_type": "markdown",
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    "metadata": {},
@@ -55,6 +56,7 @@
    ]
   },
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+   "attachments": {},
    "cell_type": "markdown",
    "id": "9e4eb9be-c19f-448f-a4bd-c600e068633f",
    "metadata": {},
@@ -283,6 +285,7 @@
    ]
   },
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+   "attachments": {},
    "cell_type": "markdown",
    "id": "ae939491-8813-44c9-bc3d-d1c6a5764cd4",
    "metadata": {},
@@ -379,6 +382,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "19456329-1293-45bf-99c7-e5ccf0534846",
    "metadata": {},
@@ -606,6 +610,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "5b2e8f0a-8367-4c10-84bd-a72e8f21ccc4",
    "metadata": {},
@@ -671,7 +676,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.13"
+   "version": "3.9.12"
   }
  },
  "nbformat": 4,