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license: mit
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license: mit
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language:
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- de
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tags:
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- title generation
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- headline-generation
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- teaser generation
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- keyword generation
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- tweet generation
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- news
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inference: false
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# snip-igel-10
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<!-- Provide a quick summary of what the model is/does. -->
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snip-igel-10
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Version 1.0 / 13 April 2023
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An adapter for [IGEL](https://huggingface.co/philschmid/instruct-igel-001) to generate german news snippets with human written instructions
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See [snip-igel-500](https://huggingface.co/snipaid/snip-igel-500) for the full model description. We repeated fine-tuning with gradually increased amounts of training data, to see the difference.
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