Add new run_swag example (#9175)
* Add new run_swag example * Add check * Add sample * Apply suggestions from code review Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * Very important change to make Lysandre happy Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
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@@ -54,7 +54,7 @@ Coming soon!
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| Task | Example datasets | Trainer support | TFTrainer support | 🤗 Datasets | Colab
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| [**`language-modeling`**](https://github.com/huggingface/transformers/tree/master/examples/language-modeling) | Raw text | ✅ | - | ✅ | [](https://colab.research.google.com/github/huggingface/blog/blob/master/notebooks/01_how_to_train.ipynb)
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| [**`multiple-choice`**](https://github.com/huggingface/transformers/tree/master/examples/multiple-choice) | SWAG, RACE, ARC | ✅ | ✅ | - | [](https://colab.research.google.com/github/ViktorAlm/notebooks/blob/master/MPC_GPU_Demo_for_TF_and_PT.ipynb)
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| [**`multiple-choice`**](https://github.com/huggingface/transformers/tree/master/examples/multiple-choice) | SWAG, RACE, ARC | ✅ | ✅ | ✅ | [](https://colab.research.google.com/github/ViktorAlm/notebooks/blob/master/MPC_GPU_Demo_for_TF_and_PT.ipynb)
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| [**`question-answering`**](https://github.com/huggingface/transformers/tree/master/examples/question-answering) | SQuAD | ✅ | ✅ | ✅ | [](https://github.com/huggingface/notebooks/blob/master/examples/question_answering.ipynb)
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| [**`summarization`**](https://github.com/huggingface/transformers/tree/master/examples/seq2seq) | CNN/Daily Mail | ✅ | - | - | -
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| [**`text-classification`**](https://github.com/huggingface/transformers/tree/master/examples/text-classification) | GLUE, XNLI | ✅ | ✅ | ✅ | [](https://github.com/huggingface/notebooks/blob/master/examples/text_classification.ipynb)
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