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Updated ONNX notebook link in README.

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Morgan Funtowicz 2020-05-14 22:40:59 +02:00
parent db0076a9df
commit 84894974bd
2 changed files with 2 additions and 2 deletions
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2
notebooks/04-onnx-export.ipynb
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@ -52,7 +52,7 @@
},
"outputs": [],
"source": [
"!pip install --upgrade git+https://github.com/huggingface/transformers@onnx-export"
"!pip install --upgrade git+https://github.com/huggingface/transformers"
]
},
{

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notebooks/README.md
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@ -16,4 +16,4 @@ Pull Request and we'll review it so it can be included here.
| [How to use Pipelines](https://github.com/huggingface/transformers/blob/master/notebooks/03-pipelines.ipynb) | Simple and efficient way to use State-of-the-Art models on downstream tasks through transformers | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/huggingface/transformers/blob/master/notebooks/03-pipelines.ipynb) |
| [How to train a language model](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 | [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](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 | [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](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/blog/blob/master/notebooks/04-onnx-export.ipynb) | Highlight how to export and run inference workloads through ONNX |
| [How to export model to ONNX](https://github.com/huggingface/transformers/blob/master/notebooks/04-onnx-export.ipynb) | Highlight how to export and run inference workloads through ONNX |