@@ -58,7 +58,7 @@ You can open any page of the documentation as a notebook in colab (there is a bu
| [How to train a language model from scratch](https://github.com/huggingface/blog/blob/master/notebooks/01_how_to_train.ipynb)| Highlight all the steps to effectively train Transformer model on custom data | [](https://colab.research.google.com/github/huggingface/blog/blob/master/notebooks/01_how_to_train.ipynb)|
| [How to generate text](https://github.com/huggingface/blog/blob/master/notebooks/02_how_to_generate.ipynb)| How to use different decoding methods for language generation with transformers | [](https://colab.research.google.com/github/huggingface/blog/blob/master/notebooks/02_how_to_generate.ipynb)|
| [How to export model to ONNX](https://github.com/huggingface/notebooks/blob/master/examples/onnx-export.ipynb) | Highlight how to export and run inference workloads through ONNX |
| [How to use Benchmarks](https://github.com/huggingface/transformers/notebooks/blob/master/examples/benchmark.ipynb) | How to benchmark models with transformers | [](https://colab.research.google.com/github/huggingface/notebooks/blob/master/examples/benchmark.ipynb)|
| [How to use Benchmarks](https://github.com/huggingface/notebooks/blob/master/examples/benchmark.ipynb) | How to benchmark models with transformers | [](https://colab.research.google.com/github/huggingface/notebooks/blob/master/examples/benchmark.ipynb)|
| [Reformer](https://github.com/huggingface/blog/blob/master/notebooks/03_reformer.ipynb) | How Reformer pushes the limits of language modeling | [](https://colab.research.google.com/github/patrickvonplaten/blog/blob/master/notebooks/03_reformer.ipynb)|
