KerasHub: Pretrained Models / API documentation / KerasHub Model Architectures

KerasHub Model Architectures

The following is a list of model architectures supported by KerasHub. These models can be created in two ways:

  • Through the from_preset() constructor, which instantiates an object with a pre-trained configurations, vocabularies, and weights.
  • Through custom configuration controlled by the user.

For the full list of available pretrained model presets shipped directly by the Keras team, see the Pretrained Models page.

Albert

Bart

Bert

Bloom

DebertaV3

DeepLabV3

DenseNet

DistilBert

Electra

Falcon

FNet

Gemma

GPT2

Llama

Llama3

Mistral

MiT

OPT

PaliGemma

Phi3

ResNet

Roberta

Segment Anything Model

Stable Diffusion 3

T5

VGG

ViTDet

Whisper

XLMRoberta