save_model: Saves a model as a '.keras' file.

In keras3: R Interface to 'Keras'

Saves a model as a .keras file.

Description

Saves a model as a .keras file.

Usage

save_model(model, filepath = NULL, overwrite = FALSE, zipped = NULL, ...)

Arguments

model	A keras model.
filepath	string, Path where to save the model. Must end in .keras.
overwrite	Whether we should overwrite any existing model at the target location, or instead ask the user via an interactive prompt.
zipped	Whether to save the model as a zipped .keras archive (default when saving locally), or as an unzipped directory (default when saving on the Hugging Face Hub).
...	For forward/backward compatability.

Value

If filepath is provided, then this function is called primarily for side effects, and model is returned invisibly. If filepath is not provided or NULL, then the serialized model is returned as an R raw vector.

Examples

model <- keras_model_sequential(input_shape = c(3)) |>
  layer_dense(5) |>
  layer_activation_softmax()

model |> save_model("model.keras")
loaded_model <- load_model("model.keras")

x <- random_uniform(c(10, 3))
stopifnot(all.equal(
  model |> predict(x),
  loaded_model |> predict(x)
))

The saved .keras file is a zip archive that contains:

• The model's configuration (architecture)

• The model's weights

• The model's optimizer's state (if any)

Thus models can be reinstantiated in the exact same state.

zip::zip_list("model.keras")[, "filename"]

## [1] "metadata.json"    "config.json"      "model.weights.h5"

See Also

load_model()

Other saving and loading functions:
export_savedmodel.keras.src.models.model.Model()
layer_tfsm()
load_model()
load_model_weights()
register_keras_serializable()
save_model_config()
save_model_weights()
with_custom_object_scope()

keras3 documentation built on June 8, 2025, 1:36 p.m.