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add short section on supported Python, TF and CUDA versions

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Clemens Neudecker 3 years ago committed by GitHub
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README.md
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@ -14,6 +14,10 @@ Alternatively, you can also use `make` with these targets:
`make install-dev` for editable installation `make install-dev` for editable installation
The current version of Eynollah runs on Python `>=3.6` with Tensorflow `>=2.4`.
In order to use a GPU for inference, the CUDA toolkit version 10.x needs to be installed.
### Models ### Models
In order to run this tool you need trained models. You can download our pretrained models from [qurator-data.de](https://qurator-data.de/eynollah/). In order to run this tool you need trained models. You can download our pretrained models from [qurator-data.de](https://qurator-data.de/eynollah/).

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