metadata
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 port of DeBERTa-v3, converted from 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.
Usage
from kerasformers.models.deberta_v3 import DebertaV3Model
model = DebertaV3Model.from_weights("kerasformers/deberta_v3_base")