RichardErkhov/GroNLP_-_gpt2-small-italian-8bits

Quantization made by Richard Erkhov.

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gpt2-small-italian - bnb 8bits

• —Model creator: https://huggingface.co/GroNLP/
• —Original model: https://huggingface.co/GroNLP/gpt2-small-italian/

Original model description: --- language: it tags:

• —adaption
• —recycled
• —gpt2-small pipeline_tag: text-generation ---

GPT-2 recycled for Italian (small)

Wietse de Vries • 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

• —`gpt2-small-dutch-embeddings`: Small model size with only retrained lexical embeddings.
• —`gpt2-small-dutch`: Small model size with retrained lexical embeddings and additional fine-tuning of the full model. (Recommended)
• —`gpt2-medium-dutch-embeddings`: Medium model size with only retrained lexical embeddings.

Italian

• —`gpt2-small-italian-embeddings`: Small model size with only retrained lexical embeddings.
• —`gpt2-small-italian`: Small model size with retrained lexical embeddings and additional fine-tuning of the full model. (Recommended)
• —`gpt2-medium-italian-embeddings`: Medium model size with only retrained lexical embeddings.

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}
}