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Fix readme
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a.scherbin committed Aug 10, 2023
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Expand Up @@ -10,7 +10,7 @@ The repository code was tested on Python 3.8.
To get started, install `torch==1.13.1` and `torchvision==0.14.1` compatible with your CUDA using
[the instruction](https://pytorch.org/get-started/previous-versions/#v1131) from the official site.

To install packages required for model optimization, run the following command:
For model optimization you need these two packages:

- [ENOT Framework](https://enot-autodl.rtd.enot.ai/en/v3.3.2/) — a flexible tool for Deep Learning developers which automates neural architecture optimization.
- [ENOT Latency Server](https://enot-autodl.rtd.enot.ai/en/latest/latency_server.html) — small open-source package that provides simple API for latency measurement on remote device.
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