| license: apache-2.0 | |
| library_name: keras | |
| pipeline_tag: fill-mask | |
| tags: | |
| - keras | |
| - kerasformers | |
| - tf | |
| - jax | |
| - pytorch | |
| - backend-agnostic | |
| - bert | |
| - fill-mask | |
| base_model: | |
| - google-bert/bert-base-uncased | |
| # BERT (bert_base_uncased) | |
| A pure [Keras 3](https://keras.io) port of **BERT**, converted from [`google-bert/bert-base-uncased`](https://huggingface.co/google-bert/bert-base-uncased) (Hugging Face Transformers). | |
| The weights are **backend-agnostic**: the same checkpoint loads and runs identically under the JAX, TensorFlow, or PyTorch Keras backend (`KERAS_BACKEND=jax|tensorflow|torch`), via [kerasformers](https://github.com/IMvision12/KerasFormers). | |
| ## Usage | |
| ```python | |
| from kerasformers.models.bert import BertModel | |
| model = BertModel.from_weights("kerasformers/bert_base_uncased") | |
| ``` | |