69 lines
2.4 KiB
Markdown
69 lines
2.4 KiB
Markdown
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---
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language: de
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widget:
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- text: "Schon um die Liebe"
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license: mit
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---
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# German GPT-2 model
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In this repository we release (yet another) GPT-2 model, that was trained on various texts for German.
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The model is meant to be an entry point for fine-tuning on other texts, and it is definitely not as good or "dangerous" as the English GPT-3 model. We do not plan extensive PR or staged releases for this model 😉
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**Note**: The model was initially released under an anonymous alias (`anonymous-german-nlp/german-gpt2`) so we now "de-anonymize" it.
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More details about GPT-2 can be found in the great [Hugging Face](https://huggingface.co/transformers/model_doc/gpt2.html) documentation.
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## German GPT-2 fine-tuned on Faust I and II
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We fine-tuned our German GPT-2 model on "Faust I and II" from Johann Wolfgang Goethe. These texts can be obtained from [Deutsches Textarchiv (DTA)](http://www.deutschestextarchiv.de/book/show/goethe_faust01_1808). We use the "normalized" version of both texts (to avoid out-of-vocabulary problems with e.g. "ſ")
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Fine-Tuning was done for 100 epochs, using a batch size of 4 with half precision on a RTX 3090. Total time was around 12 minutes (it is really fast!).
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We also open source this fine-tuned model. Text can be generated with:
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```python
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from transformers import pipeline
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pipe = pipeline('text-generation', model="dbmdz/german-gpt2-faust",
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tokenizer="dbmdz/german-gpt2-faust")
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text = pipe("Schon um die Liebe", max_length=100)[0]["generated_text"]
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print(text)
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```
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and could output:
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```
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Schon um die Liebe bitte ich, Herr! Wer mag sich die dreifach Ermächtigen?
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Sei mir ein Held!
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Und daß die Stunde kommt spreche ich nicht aus.
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Faust (schaudernd).
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Den schönen Boten finde' ich verwirrend;
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```
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# License
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All models are licensed under [MIT](LICENSE).
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# Huggingface model hub
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All models are available on the [Huggingface model hub](https://huggingface.co/dbmdz).
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# Contact (Bugs, Feedback, Contribution and more)
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For questions about our BERT models just open an issue
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[here](https://github.com/stefan-it/german-gpt/issues/new) 🤗
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# Acknowledgments
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Research supported with Cloud TPUs from Google's TensorFlow Research Cloud (TFRC).
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Thanks for providing access to the TFRC ❤️
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Thanks to the generous support from the [Hugging Face](https://huggingface.co/) team,
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it is possible to download both cased and uncased models from their S3 storage 🤗
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