Task
Fill Mask
B
dccuchile/bert-base-spanish-wwm-uncased
Fill Mask·dccuchile· 408.1K· 75
BETO is a BERT model trained on a big Spanish corpus. BETO is of size similar to a BERT-Base and was trained with the Whole Word Masking technique. Below you find Tensorflow and Pytorch checkpoints for the uncased and cased versions, as well as some results for Spanish benchmarks comparing BETO with Multilingual BERT as well as other (not BERT-based) models.
# pull & run locally
pip install mlforge-sdk && mlforge pull dccuchile/bert-base-spanish-wwm-uncased
pip install mlforge-sdk && mlforge pull dccuchile/bert-base-spanish-wwm-uncased
Model details
Provider
dccuchile
Framework
transformers
Size
3.0 GB
Downloads
408.1K
Likes
75
Paper
arXiv:1904.09077
Updated
2024-01-18
About dccuchile/bert-base-spanish-wwm-uncased
BETO is a BERT model trained on a big Spanish corpus. BETO is of size similar to a BERT-Base and was trained with the Whole Word Masking technique. Below you find Tensorflow and Pytorch checkpoints for the uncased and cased versions, as well as some results for Spanish benchmarks comparing BETO with Multilingual BERT as well as other (not BERT-based) models.