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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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Philip May commited on Aug 5, 2021

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@@ -46,7 +46,7 @@ This model is trained on the following dataset:
 |------|----------|------|--------
 | [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).
-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)).
 ## Evaluation on MLSUM German Test Set (no beams)

 |------|----------|------|--------
 | [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).
+We have permission to use the Swisstext dataset and release the resulting summarization model under MIT license (see [permission-declaration-swisstext.pdf](https://huggingface.co/deutsche-telekom/mt5-small-sum-de-mit-v1/resolve/main/permission-declaration-swisstext.pdf)).
 ## Evaluation on MLSUM German Test Set (no beams)