
# Creators
- [Stefan Schweter](https://github.com/stefan-it) ([schweter.ml](https://schweter.ml))
- [Philip May](https://may.la) ([Deutsche Telekom](https://www.telekom.de/))
- [Philipp Schmid](https://www.philschmid.de/) ([Hugging Face](https://huggingface.co/))

# Training Data

The model was trained on `HEAD` and `MIDDLE` of the [German colossal, cleaned Common Crawl corpus (GC4)](https://german-nlp-group.github.io/projects/gc4-corpus.html) corpus.

# Useful links

* [Pretraining details](https://github.com/GermanT5/pre-training)
* [Corpus overview](https://github.com/GermanT5/corpus)
* [Tokenizer details](https://github.com/GermanT5/tokenizer)
* [Evaluation overview](https://github.com/GermanT5/german-t5-eval)

# License - The MIT License

Copyright 2022 Stefan Schweter<br>
Copyright 2022 Philip May<br>
Copyright 2022 Philipp Schmid

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

{"language": "de", "license": "mit", "tags": ["german", "deutsch"]}
transformers pytorch tensorboard safetensors t5 text2text-generation german deutsch de license:mit autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #tensorboard #safetensors #t5 #text2text-generation #german #deutsch #de #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 


# Creators
- Stefan Schweter (URL)
- Philip May (Deutsche Telekom)
- Philipp Schmid (Hugging Face)

# Training Data

The model was trained on 'HEAD' and 'MIDDLE' of the German colossal, cleaned Common Crawl corpus (GC4) corpus.

# Useful links

* Pretraining details
* Corpus overview
* Tokenizer details
* Evaluation overview

# License - The MIT License

Copyright 2022 Stefan Schweter<br>
Copyright 2022 Philip May<br>
Copyright 2022 Philipp Schmid

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

# Creators
- Stefan Schweter (URL)
- Philip May (Deutsche Telekom)
- Philipp Schmid (Hugging Face) # Training Data

The model was trained on 'HEAD' and 'MIDDLE' of the German colossal, cleaned Common Crawl corpus (GC4) corpus. # Useful links

* Pretraining details
* Corpus overview
* Tokenizer details
* Evaluation overview # License - The MIT License

Copyright 2022 Stefan Schweter<br>
Copyright 2022 Philip May<br>
Copyright 2022 Philipp Schmid

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
TAGS
#transformers #pytorch #tensorboard #safetensors #t5 #text2text-generation #german #deutsch #de #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 # Creators
- Stefan Schweter (URL)
- Philip May (Deutsche Telekom)
- Philipp Schmid (Hugging Face) # Training Data

The model was trained on 'HEAD' and 'MIDDLE' of the German colossal, cleaned Common Crawl corpus (GC4) corpus. # Useful links

* Pretraining details
* Corpus overview
* Tokenizer details
* Evaluation overview # License - The MIT License

Copyright 2022 Stefan Schweter<br>
Copyright 2022 Philip May<br>
Copyright 2022 Philipp Schmid

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
TAGS
#transformers #pytorch #tensorboard #safetensors #t5 #text2text-generation #german #deutsch #de #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
# Creators
- Stefan Schweter (URL)
- Philip May (Deutsche Telekom)
- Philipp Schmid (Hugging Face)# Training Data

The model was trained on 'HEAD' and 'MIDDLE' of the German colossal, cleaned Common Crawl corpus (GC4) corpus.# Useful links

* Pretraining details
* Corpus overview
* Tokenizer details
* Evaluation overview# License - The MIT License

Copyright 2022 Stefan Schweter<br>
Copyright 2022 Philip May<br>
Copyright 2022 Philipp Schmid

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.