readme: ---
  language: es
  tags:
  - text-generation
  datasets:
  - oscar
  widgets:
  - text: "Érase un vez "
  - text: "Frase: Esta película es muy agradable. Sentimiento: positivo
  Frase: Odiaba esta película, apesta. Sentimiento: negativo
  Frase: Esta película fue bastante mala. Sentimiento: "
  ---
  
  # Spanish GPT-2
  
  GPT-2 model trained from scratch on the Spanish portion of [OSCAR](https://huggingface.co/datasets/viewer/?dataset=oscar).
  The model is trained with Flax and using TPUs sponsored by Google since this is part of the
  [Flax/Jax Community Week](https://discuss.huggingface.co/t/open-to-the-community-community-week-using-jax-flax-for-nlp-cv/7104)
  organised by HuggingFace.
  
  ## Model description
  
  The model used for training is [OpenAI's GPT-2](https://openai.com/blog/better-language-models/), introduced in the paper ["Language Models are Unsupervised Multitask Learners"](https://d4mucfpksywv.cloudfront.net/better-language-models/language_models_are_unsupervised_multitask_learners.pdf) by Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei and Ilya Sutskever.
  
  This model is available in the 🤗 [Model Hub](https://huggingface.co/gpt2).
  
  ## Training data
  
  Spanish portion of OSCAR or **O**pen **S**uper-large **C**rawled **A**LMAnaCH co**R**pus, a huge multilingual corpus obtained by language classification and filtering of the [Common Crawl](https://commoncrawl.org/) corpus using the [goclassy](https://github.com/pjox/goclassy) architecture.
  
  This corpus is available in the 🤗 [Datasets](https://huggingface.co/datasets/oscar) library.
  
  ## Team members
  - Manuel Romero ([mrm8488](https://huggingface.co/mrm8488))
  - María Grandury ([mariagrandury](https://huggingface.co/mariagrandury))
  - Pablo González de Prado ([Pablogps](https://huggingface.co/Pablogps))
  - Daniel Vera ([daveni](https://huggingface.co/daveni))
  - Sri Lakshmi ([srisweet](https://huggingface.co/srisweet))
  - José Posada ([jdposa](https://huggingface.co/jdposa))
  - Santiago Hincapie ([shpotes](https://huggingface.co/shpotes))
  - Jorge ([jorgealro](https://huggingface.co/jorgealro))
  