Update and rename 2021-6-14-pytorch-1.9-new-library-releases.md to 2021-6-15-pytorch-1.9-new-library-releases.md

Author: pytorchsam

_posts/2021-6-14-pytorch-1.9-new-library-releases.md renamed to _posts/2021-6-15-pytorch-1.9-new-library-releases.md

@@ -103,25 +103,26 @@ We have added the model architectures from [Wav2Vec2.0](https://arxiv.org/abs/20
 The following code snippet illustrates such a use case. Please check out our [c++ example directory](https://github.com/pytorch/audio/tree/master/examples/libtorchaudio) for the complete example. Currently, it is designed for running inference. If you would like more support for training, please file a feature request.
 
 ```python
-{:.table.table-striped.table-bordered}
-|# Import fine-tuned model from Hugging Face Hub
+# Import fine-tuned model from Hugging Face Hub
 import transformers
 from torchaudio.models.wav2vec2.utils import import_huggingface_model
 
 original = Wav2Vec2ForCTC.from_pretrained("facebook/wav2vec2-base-960h")
-imported = import_huggingface_model(original)|
+imported = import_huggingface_model(original)
+```
 
-{:.table.table-striped.table-bordered}
-|# Import fine-tuned model from fairseq
+```python
+# Import fine-tuned model from fairseq
 import fairseq
 from torchaudio.models.wav2vec2.utils import import_fairseq_model
 
 original, _, _ = fairseq.checkpoint_utils.load_model_ensemble_and_task(
     ["wav2vec_small_960h.pt"], arg_overrides={'data': "<data_dir>"})
-imported = import_fairseq_model(original[0].w2v_encoder)|
+imported = import_fairseq_model(original[0].w2v_encoder)
+```
 
-{:.table.table-striped.table-bordered}
-|# Build uninitialized model and load state dict
+```python
+# Build uninitialized model and load state dict
 from torchaudio.models import wav2vec2_base
 
 model = wav2vec2_base(num_out=32)
@@ -132,7 +133,7 @@ quantized_model = torch.quantization.quantize_dynamic(
     model, qconfig_spec={torch.nn.Linear}, dtype=torch.qint8)
 scripted_model = torch.jit.script(quantized_model)
 optimized_model = optimize_for_mobile(scripted_model)
-optimized_model.save("model_for_deployment.pt")|
+optimized_model.save("model_for_deployment.pt")
 ```
 
 For more details, see [the documentation](https://pytorch.org/audio/0.9.0/models.html#wav2vec2-0). 
@@ -198,3 +199,6 @@ For more details, refer to [the documentation](https://pytorch.org/text/stable/v
 
 Thanks for reading. If you’re interested in these updates and want to join the PyTorch community, we encourage you to join [the discussion](https://discuss.pytorch.org/) forums and [open GitHub issues](https://github.com/pytorch/pytorch/issues). To get the latest news from PyTorch, follow us on [Facebook](https://www.facebook.com/pytorch/), [Twitter](https://twitter.com/PyTorch), [Medium](https://medium.com/pytorch), [YouTube](https://www.youtube.com/pytorch) or [LinkedIn](https://www.linkedin.com/company/pytorch).  
 
+Cheers!
+
+-Team PyTorch