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Typo fixes in main README (#12997)

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Helena Kloosterman 2022-09-12 06:20:04 +02:00 committed by GitHub
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@ -44,10 +44,10 @@ source and public models in popular formats such as TensorFlow, ONNX, PaddlePadd
* [inference](https://github.com/openvinotoolkit/openvino/tree/master/src/inference) - provides an API to infer models on device.
* [transformations](https://github.com/openvinotoolkit/openvino/tree/master/src/common/transformations) - contains the set of common transformations which are used in OpenVINO plugins.
* [low precision transformations](https://github.com/openvinotoolkit/openvino/tree/master/src/common/low_precision_transformations) - contains the set of transformations which are used in low precision models
* [bindings](https://github.com/openvinotoolkit/openvino/tree/master/src/bindings) - contains all awailable OpenVINO bindings which are maintained by OpenVINO team.
* [bindings](https://github.com/openvinotoolkit/openvino/tree/master/src/bindings) - contains all available OpenVINO bindings which are maintained by OpenVINO team.
* [c](https://github.com/openvinotoolkit/openvino/tree/master/src/bindings/c) - provides C API for OpenVINO™ Runtime
* [python](https://github.com/openvinotoolkit/openvino/tree/master/src/bindings/python) - Python API for OpenVINO™ Runtime
* [Plugins](https://github.com/openvinotoolkit/openvino/tree/master/src/plugins) - contains OpenVINO plugins which are maintained in open-source by OpenVINO team. For more information please taje a look to the [list of supported devices](#supported-hardware-matrix).
* [Plugins](https://github.com/openvinotoolkit/openvino/tree/master/src/plugins) - contains OpenVINO plugins which are maintained in open-source by OpenVINO team. For more information please take a look to the [list of supported devices](#supported-hardware-matrix).
* [Frontends](https://github.com/openvinotoolkit/openvino/tree/master/src/frontends) - contains available OpenVINO frontends which allow to read model from native framework format.
* [Model Optimizer] - is a cross-platform command-line tool that facilitates the transition between training and deployment environments, performs static model analysis, and adjusts deep learning models for optimal execution on end-point target devices.
* [Post-Training Optimization Tool] - is designed to accelerate the inference of deep learning models by applying special methods without model retraining or fine-tuning, for example, post-training 8-bit quantization.
@ -140,7 +140,7 @@ By contributing to the project, you agree to the license and copyright terms the
### User documentation
The latest documentation for OpenVINO™ Toolkit is availabe [here](https://docs.openvino.ai/). This documentation contains detailed information about all OpenVINO components and provides all important information which could be needed if you create an application which is based on binary OpenVINO distribution or own OpenVINO version without source code modification.
The latest documentation for OpenVINO™ Toolkit is available [here](https://docs.openvino.ai/). This documentation contains detailed information about all OpenVINO components and provides all important information which could be needed if you create an application which is based on binary OpenVINO distribution or own OpenVINO version without source code modification.
### Developer documentation