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README.md

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+Quantization made by Richard Erkhov.
+
+[Github](https://github.com/RichardErkhov)
+
+[Discord](https://discord.gg/pvy7H8DZMG)
+
+[Request more models](https://github.com/RichardErkhov/quant_request)
+
+
+gpt2-small-dutch - bnb 4bits
+- Model creator: https://huggingface.co/GroNLP/
+- Original model: https://huggingface.co/GroNLP/gpt2-small-dutch/
+
+
+
+
+Original model description:
+---
+language: nl
+tags:
+- adaption
+- recycled
+- gpt2-small
+pipeline_tag: text-generation
+---
+
+# GPT-2 recycled for Dutch (small)
+[Wietse de Vries](https://www.semanticscholar.org/author/Wietse-de-Vries/144611157) •
+[Malvina Nissim](https://www.semanticscholar.org/author/M.-Nissim/2742475)
+
+## Model description
+
+This model is based on the small OpenAI GPT-2 ([`gpt2`](https://huggingface.co/gpt2)) model.
+
+For details, check out our paper on [arXiv](https://arxiv.org/abs/2012.05628) and the code on [Github](https://github.com/wietsedv/gpt2-recycle).
+
+
+## Related models
+
+### Dutch
+ - [`gpt2-small-dutch-embeddings`](https://huggingface.co/GroNLP/gpt2-small-dutch-embeddings): Small model size with only retrained lexical embeddings.
+ - [`gpt2-small-dutch`](https://huggingface.co/GroNLP/gpt2-small-dutch):  Small model size with retrained lexical embeddings and additional fine-tuning of the full model. (**Recommended**)
+ - [`gpt2-medium-dutch-embeddings`](https://huggingface.co/GroNLP/gpt2-medium-dutch-embeddings): Medium model size with only retrained lexical embeddings.
+
+### Italian
+ - [`gpt2-small-italian-embeddings`](https://huggingface.co/GroNLP/gpt2-small-italian-embeddings): Small model size with only retrained lexical embeddings.
+ - [`gpt2-small-italian`](https://huggingface.co/GroNLP/gpt2-small-italian):  Small model size with retrained lexical embeddings and additional fine-tuning of the full model. (**Recommended**)
+ - [`gpt2-medium-italian-embeddings`](https://huggingface.co/GroNLP/gpt2-medium-italian-embeddings): Medium model size with only retrained lexical embeddings.
+
+
+## How to use
+
+```python
+from transformers import pipeline
+
+pipe = pipeline("text-generation", model="GroNLP/gpt2-small-dutch")
+```
+
+```python
+from transformers import AutoTokenizer, AutoModel, TFAutoModel
+
+tokenizer = AutoTokenizer.from_pretrained("GroNLP/gpt2-small-dutch")
+model = AutoModel.from_pretrained("GroNLP/gpt2-small-dutch")  # PyTorch
+model = TFAutoModel.from_pretrained("GroNLP/gpt2-small-dutch")  # Tensorflow
+```
+
+## BibTeX entry
+
+```bibtex
+@misc{devries2020good,
+      title={As good as new. How to successfully recycle English GPT-2 to make models for other languages}, 
+      author={Wietse de Vries and Malvina Nissim},
+      year={2020},
+      eprint={2012.05628},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}
+```
+
+