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Spanish GPT-2

GPT-2 model trained from scratch on the Spanish portion of OSCAR. The model is trained with Flax and using TPUs sponsored by Google since this is part of the Flax/Jax Community Week organised by HuggingFace.

Model description

The model used for training is OpenAI's GPT-2, introduced in the paper "Language Models are Unsupervised Multitask Learners" by Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei and Ilya Sutskever.

This model is available in the 🤗 Model Hub.

Training data

Spanish portion of OSCAR or Open Super-large Crawled ALMAnaCH coRpus, a huge multilingual corpus obtained by language classification and filtering of the Common Crawl corpus using the goclassy architecture.

This corpus is available in the 🤗 Datasets library.

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Model size
137M params
Tensor type

Dataset used to train flax-community/gpt-2-spanish

Space using flax-community/gpt-2-spanish 1