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mt5-small-sum-de-mit-v1

Summarization Transformers PyTorch Safetensors
German mt5 text2text-generation Inference Endpoints text-generation-inference
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@@ -44,7 +44,9 @@ This model is trained on the following dataset:
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  | Name | Language | Size | License
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  |------|----------|------|--------
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- | [SwissText 2019 - Train](https://www.swisstext.org/2019/shared-task/german-text-summarization-challenge.html) | de | 84,564 | Concrete license is unclear. The data was published in the [German Text Summarization Challenge](https://www.swisstext.org/2019/shared-task/german-text-summarization-challenge.html). xxx
 
 
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  ## Evaluation on MLSUM German Test Set (no beams)
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  | Name | Language | Size | License
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  |------|----------|------|--------
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+ | [SwissText 2019 - Train](https://www.swisstext.org/2019/shared-task/german-text-summarization-challenge.html) | de | 84,564 | Concrete license is unclear. The data was published in the [German Text Summarization Challenge](https://www.swisstext.org/2019/shared-task/german-text-summarization-challenge.html).
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+ We have permission to use the Swisstext dataset and release the resulting summarization model under MIT (see [permission-declaration-swisstext.pdf](https://huggingface.co/deutsche-telekom/mt5-small-sum-de-mit-v1/resolve/main/permission-declaration-swisstext.pdf)).
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  ## Evaluation on MLSUM German Test Set (no beams)
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