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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")
```
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