language, tags, datasets, widgets, license
| language | tags | datasets | widgets | license | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| es |
|
|
|
apache-2.0 |
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.