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Fix instructions for backend spec [skip ci]
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README.md

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@@ -76,7 +76,7 @@ Note that BayesFlow **will not run** without a backend.
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If you don't know which backend to use, we recommend JAX as it is currently the fastest backend.
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Once installed, [set the backend environment variable as required by keras](https://keras.io/getting_started/#configuring-your-backend).
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As of version ``2.0.7``, the backend will be set automatically. If you have multiple backends, you can manually [set the backend environment variable as described by keras](https://keras.io/getting_started/#configuring-your-backend).
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For example, inside your Python script write:
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```python
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export KERAS_BACKEND=jax
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```
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This way, you also don't have to manually set the backend every time you are starting Python to use BayesFlow.
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## Getting Started
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Using the high-level interface is easy, as demonstrated by the minimal working example below:

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