---
license: mit
library_name: keras
pipeline_tag: fill-mask
tags:
  - keras
  - kerasformers
  - tf
  - jax
  - pytorch
  - backend-agnostic
  - deberta_v2
  - fill-mask
base_model:
  - microsoft/deberta-v2-xlarge
---
# DeBERTa-v2 (deberta_v2_xlarge)

A pure [Keras 3](https://keras.io) port of **DeBERTa-v2**, converted from [`microsoft/deberta-v2-xlarge`](https://huggingface.co/microsoft/deberta-v2-xlarge) (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_v2 import DebertaV2Model

model = DebertaV2Model.from_weights("kerasformers/deberta_v2_xlarge")
```