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Model: dbmdz/german-gpt2-faust
Source: Original Platform

README.md

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+---
+language: de
+
+widget:
+- text: "Schon um die Liebe"
+
+license: mit
+---
+
+# German GPT-2 model
+
+In this repository we release (yet another) GPT-2 model, that was trained on various texts for German.
+
+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 😉
+
+**Note**: The model was initially released under an anonymous alias (`anonymous-german-nlp/german-gpt2`) so we now "de-anonymize" it.
+
+More details about GPT-2 can be found in the great [Hugging Face](https://huggingface.co/transformers/model_doc/gpt2.html) documentation.
+
+## German GPT-2 fine-tuned on Faust I and II
+
+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")
+
+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!).
+
+We also open source this fine-tuned model. Text can be generated with:
+
+```python
+from transformers import pipeline
+
+pipe = pipeline('text-generation', model="dbmdz/german-gpt2-faust",
+                 tokenizer="dbmdz/german-gpt2-faust")   
+
+text = pipe("Schon um die Liebe", max_length=100)[0]["generated_text"]
+
+print(text)
+```
+
+and could output:
+
+```
+Schon um die Liebe bitte ich, Herr! Wer mag sich die dreifach Ermächtigen?
+Sei mir ein Held!
+Und daß die Stunde kommt spreche ich nicht aus.
+Faust (schaudernd).
+Den schönen Boten finde' ich verwirrend;
+```
+
+# License
+
+All models are licensed under [MIT](LICENSE).
+
+# Huggingface model hub
+
+All models are available on the [Huggingface model hub](https://huggingface.co/dbmdz).
+
+# Contact (Bugs, Feedback, Contribution and more)
+
+For questions about our BERT models just open an issue
+[here](https://github.com/stefan-it/german-gpt/issues/new) 🤗
+
+# Acknowledgments
+
+Research supported with Cloud TPUs from Google's TensorFlow Research Cloud (TFRC).
+Thanks for providing access to the TFRC ❤️
+
+Thanks to the generous support from the [Hugging Face](https://huggingface.co/) team,
+it is possible to download both cased and uncased models from their S3 storage 🤗