dccuchile/bert-base-spanish-wwm-uncased is an open-weight BERT model pretrained for Spanish masked-language modeling. Developers and researchers can load it with Transformers or use hosted inference for fill-mask and related NLP tasks.
In the Foundation models & chat space, Bert Base Spanish Wwm Uncased takes a focused approach. It focuses on providing a pretrained Spanish language model for masked-language modeling and NLP applications. It is built as an open-source project for NLP developers and researchers working with Spanish text. The project is open source (Apache-2.0). It ships for the web and API, and it can be self-hosted.
DCC UChile builds and maintains Bert Base Spanish Wwm Uncased, and it first shipped in 2018. The GitHub repository has been archived. Key capabilities include fill-mask inference, spanish language model, and transformers support.
Summary written by a language model from the project’s public pages.
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