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[Docs] Fix tutorial links (#9721)

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* Remove incorrect sample links

* Update tutorial list

* Add link to BERT model acceleration tutorial
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Faith Xu 2021-11-10 15:41:11 -08:00 committed by GitHub
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7
docs/tutorials/accelerate-pytorch/pytorch.md
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@ -19,4 +19,11 @@ ONNX Runtime can be used to accelerate PyTorch models inferencing.
## Accelerate PyTorch model inferencing
{: .no_toc }
### BERT
* [Accelerate BERT model on CPU](https://github.com/microsoft/onnxruntime/blob/master/onnxruntime/python/tools/transformers/notebooks/PyTorch_Bert-Squad_OnnxRuntime_CPU.ipynb)
* [Accelerate BERT model on GPU](https://github.com/microsoft/onnxruntime/blob/master/onnxruntime/python/tools/transformers/notebooks/PyTorch_Bert-Squad_OnnxRuntime_GPU.ipynb)
* [Accelerate reduced size BERT model through quantization](https://github.com/microsoft/onnxruntime-inference-examples/blob/main/quantization/notebooks/bert/Bert-GLUE_OnnxRuntime_quantization.ipynb)
### GPT-2
* [Accelerate GPT2 on CPU](https://github.com/microsoft/onnxruntime/blob/master/onnxruntime/python/tools/transformers/notebooks/Inference_GPT2_with_OnnxRuntime_on_CPU.ipynb)
* [Accelerate GPT2 (with one step search) on CPU](https://github.com/microsoft/onnxruntime/blob/master/onnxruntime/python/tools/transformers/notebooks/Inference_GPT2-OneStepSearch_OnnxRuntime_CPU.ipynb)

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docs/tutorials/tensorflow.md
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@ -23,13 +23,9 @@ These examples use the [TensorFlow-ONNX converter](https://github.com/onnx/tenso
* [TensorFlow: Image classification (efficientnet-edge)](https://github.com/onnx/tensorflow-onnx/blob/master/tutorials/efficientnet-edge.ipynb)
* [TensorFlow: Image classification (efficientnet-lite)](https://github.com/onnx/tensorflow-onnx/blob/master/tutorials/efficientnet-lite.ipynb)
* [TensorFlow: Natural Language Processing (BERT)](https://github.com/onnx/tensorflow-onnx/blob/master/tutorials/BertTutorial.ipynb)
* [TensorFlow: Accelerate BERT model](https://github.com/microsoft/onnxruntime/blob/master/onnxruntime/python/tools/transformers/notebooks/Tensorflow_Tf2onnx_Bert-Squad_OnnxRuntime_CPU.ipynb)
* [Keras: Image classification (Resnet 50)](https://github.com/onnx/tensorflow-onnx/blob/master/tutorials/keras-resnet50.ipynb)
### TFLite
{: .no_toc }
* [TFLite: Image classifciation (mobiledet)](https://github.com/onnx/tensorflow-onnx/blob/master/tutorials/mobiledet-tflite.ipynb)
## Accelerate TensorFlow model inferencing
{: .no_toc }
* [Accelerate BERT model on CPU](https://github.com/microsoft/onnxruntime/blob/master/onnxruntime/python/tools/transformers/notebooks/PyTorch_Bert-Squad_OnnxRuntime_CPU.ipynb)
* [Accelerate BERT model on GPU](https://github.com/microsoft/onnxruntime/blob/master/onnxruntime/python/tools/transformers/notebooks/PyTorch_Bert-Squad_OnnxRuntime_GPU.ipynb)