metadata
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 port of DeBERTa-v2, converted from 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.
Usage
from kerasformers.models.deberta_v2 import DebertaV2Model
model = DebertaV2Model.from_weights("kerasformers/deberta_v2_xlarge")