Create README.md

README.md

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+---
+language: es
+tags:
+- GPT-2
+- text-generation
+datasets:
+- oscar
+widgets:
+- text: "Érase un vez "
+---
+
+# 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/))
+- 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))