Multilingual BERT Models and Transformers
38 repos
Pre-trained BERT language models optimized for diverse languages and language pairs, including specialized variants for Russian, Italian, Swedish, Turkish, and multilingual combinations. These repositories provide transformer-based NLP foundations compatible with PyTorch and TensorFlow, enabling downstream tasks like text classification, named entity recognition, and semantic similarity across languages. The cluster represents the infrastructure layer for applying transfer learning and fine-tuning BERT architectures to non-English and cross-lingual NLP problems.
transformers ·1,175
endpoints_compatible ·1,175
pytorch ·1,174
bert ·1,166
safetensors ·1,121
tf ·1,115
en ·735
model-index ·734
onnx ·734
token-classification ·734
