diff --git a/notebooks/example/README.md b/notebooks/example/README.md index 2136834d..763b4812 100644 --- a/notebooks/example/README.md +++ b/notebooks/example/README.md @@ -1,6 +1,6 @@ # Example Notebook -[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/andrewm4894/Open-Assistant/blob/main/notebooks/example/example.ipynb) +[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/LAION-AI/Open-Assistant/blob/main/notebooks/example/example.ipynb) This folder contains an example reference notebook structure and approach for this project. Please try and follow this structure as closely as possible. While diff --git a/notebooks/example/example.ipynb b/notebooks/example/example.ipynb index 2c6b1e01..5f938c13 100644 --- a/notebooks/example/example.ipynb +++ b/notebooks/example/example.ipynb @@ -9,10 +9,11 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ - "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/andrewm4894/Open-Assistant/blob/example-notebook/notebooks/example/example.ipynb)" + "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/LAION-AI/Open-Assistant/blob/example-notebook/notebooks/example/example.ipynb)" ] }, { @@ -22,7 +23,7 @@ "outputs": [], "source": [ "# uncomment and run below lines to set up if running in colab\n", - "# !git clone https://github.com/andrewm4894/Open-Assistant.git\n", + "# !git clone https://github.com/LAION-AI/Open-Assistant.git\n", "# %cd Open-Assistant/notebooks/example\n", "# !pip install -r requirements.txt" ] @@ -146,12 +147,12 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.4" + "version": "3.7.4 (tags/v3.7.4:e09359112e, Jul 8 2019, 20:34:20) [MSC v.1916 64 bit (AMD64)]" }, "orig_nbformat": 4, "vscode": { "interpreter": { - "hash": "3ad933181bd8a04b432d3370b9dc3b0662ad032c4dfaa4e4f1596c548f763858" + "hash": "25d5c2324055587ceaeef27650c79ce8358ea61d7689f2e0b8ada5d53f85bce4" } } },