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license: mit
library_name: keras
pipeline_tag: feature-extraction
tags:
- keras
- kerasformers
- tf
- jax
- pytorch
- backend-agnostic
- deberta_v3
- feature-extraction
base_model:
- microsoft/deberta-v3-base
---
# DeBERTa-v3 (deberta_v3_base)
A pure [Keras 3](https://keras.io) port of **DeBERTa-v3**, converted from [`microsoft/deberta-v3-base`](https://huggingface.co/microsoft/deberta-v3-base) (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.deberta_v3 import DebertaV3Model
model = DebertaV3Model.from_weights("kerasformers/deberta_v3_base")
```
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