fixed typo

README.md

@@ -147,7 +147,7 @@ Users could get a nn-Meter IR graph by applying `model_file_to_graph` and `model
 
 To empower affordable DNN on the edge and mobile devices, hardware-aware NAS searches both high accuracy and low latency models. In particular, the search algorithm only considers the models within the target latency constraints during the search process.
 
-Currently we provides example of end-to-end [multi-trial NAS](https://nni.readthedocs.io/en/stable/NAS/multi_trial_nas.html), which is a [random search algorithm](https://arxiv.org/abs/1902.07638) on [SPOS](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123610528.pdf) search space. More examples of more hardware-aware NAS and model compression algorithms are coming soon. 
+Currently we provides example of end-to-end [multi-trial NAS](https://nni.readthedocs.io/en/stable/NAS/multi_trial_nas.html), which is a [random search algorithm](https://arxiv.org/abs/1902.07638) on [SPOS NAS](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123610528.pdf) search space. More examples of more hardware-aware NAS and model compression algorithms are coming soon. 
 
 To run multi-trail SPOS demo, NNI should be installed through source code by following [NNI Doc](https://nni.readthedocs.io/en/stable/Tutorial/InstallationLinux.html#installation)
 ```bash

docs/usage.md

@@ -95,7 +95,7 @@ Users could get a nn-Meter IR graph by applying `model_file_to_graph` and `model
 
 To empower affordable DNN on the edge and mobile devices, hardware-aware NAS searches both high accuracy and low latency models. In particular, the search algorithm only considers the models within the target latency constraints during the search process.
 
-Currently we provides example of end-to-end [multi-trial NAS](https://nni.readthedocs.io/en/stable/NAS/multi_trial_nas.html), which is a [random search algorithm](https://arxiv.org/abs/1902.07638) on [SPOS](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123610528.pdf) search space. More examples of more hardware-aware NAS and model compression algorithms are coming soon. 
+Currently we provides example of end-to-end [multi-trial NAS](https://nni.readthedocs.io/en/stable/NAS/multi_trial_nas.html), which is a [random search algorithm](https://arxiv.org/abs/1902.07638) on [SPOS NAS](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123610528.pdf) search space. More examples of more hardware-aware NAS and model compression algorithms are coming soon. 
 
 To run multi-trail SPOS demo, NNI should be installed through source code by following [NNI Doc](https://nni.readthedocs.io/en/stable/Tutorial/InstallationLinux.html#installation)
 ```bash