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t5-efficient-gc4-all-german-small-el32
GermanT5/t5-efficient-gc4-all-german-small-el32
t5-efficient-gc4-all-german-small-el32 is a machine learning model from GermanT5. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
- Stefan Schweter (schweter.ml) - Philip May (Deutsche Telekom) - Philipp Schmid (Hugging Face)
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3.2K
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142M
1.7 GB on disk
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4
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.bin569 MB · 34%
At a glance
- Library
- transformers
- License
- mit
- Model type
- t5
- Access
- Public
- Created
- Jan 23, 2023
- Updated
- Jan 13, 2024
- SHA
- 43a2d3a1
Model card
From the Hugging Face model README
Creators
Training Data
The model was trained on HEAD and MIDDLE of the German colossal, cleaned Common Crawl corpus (GC4) corpus.
Useful links
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.
- Library
- transformers
- Type
- t5
- License
- mit
- Languages
- de
- Created
- Jan 23, 2023
- Updated
- Jan 13, 2024