How to use from
vLLM
Install from pip and serve model
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "GroNLP/gpt2-small-italian"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "GroNLP/gpt2-small-italian",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'
Use Docker
docker model run hf.co/GroNLP/gpt2-small-italian
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GPT-2 recycled for Italian (small)

Wietse de Vries β€’ Malvina Nissim

Model description

This model is based on the small OpenAI GPT-2 (gpt2) model.

For details, check out our paper on arXiv and the code on Github.

Related models

Dutch

Italian

How to use

from transformers import pipeline

pipe = pipeline("text-generation", model="GroNLP/gpt2-small-italian")
from transformers import AutoTokenizer, AutoModel, TFAutoModel

tokenizer = AutoTokenizer.from_pretrained("GroNLP/gpt2-small-italian")
model = AutoModel.from_pretrained("GroNLP/gpt2-small-italian")  # PyTorch
model = TFAutoModel.from_pretrained("GroNLP/gpt2-small-italian")  # Tensorflow

BibTeX entry

@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}
}
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