13 lines
1.4 KiB
Markdown
13 lines
1.4 KiB
Markdown
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# Lightning Notebooks ⚡
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## Official Notebooks
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You can easily run any of the official notebooks by clicking the 'Open in Colab' links in the table below :smile:
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| Notebook | Description | Colab Link |
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| :--- | :--- | :---: |
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| __MNIST Hello World__ | Train your first Lightning Module on the classic MNIST Handwritten Digits Dataset. | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/PytorchLightning/pytorch-lightning/blob/master/notebooks/01_mnist_hello_world.ipynb) |
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| __Datamodules__ | Learn about DataModules and train a dataset-agnostic model on MNIST and CIFAR10.| [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/PytorchLightning/pytorch-lightning/blob/master/notebooks/02_datamodules.ipynb)|
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| __GAN__ | Train a GAN on the MNIST Dataset. Learn how to use multiple optimizers in Lightning. | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/PytorchLightning/pytorch-lightning/blob/master/notebooks/03_basic_gan.ipynb) |
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| __BERT__ | Fine-tune HuggingFace Transformers models on the GLUE Benchmark | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/PytorchLightning/pytorch-lightning/blob/master/notebooks/04_transformers_text_classification.ipynb) |
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