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readme: add example code section

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@@ -27,6 +27,21 @@ for identifying biases and how to prevent them, as most research is currently do
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  # Changelog
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  ---
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+ # Text Generation
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+ The following code snippet can be used to generate text with this German GPT-2 model:
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+ ```python
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+ from transformers import pipeline
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+ model_name = "stefan-it/german-gpt2-larger"
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+ pipe = pipeline('text-generation', model=model_name, tokenizer=model_name)
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+ text = pipe("Der Sinn des Lebens ist es", max_length=200)[0]["generated_text"]
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+ print(text)
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+ ```
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  # Changelog
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