# tf.keras.models.model_from_json

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| [![](https://www.tensorflow.org/images/GitHub-Mark-32px.png) View source on GitHub](https://github.com/keras-team/keras/tree/v2.13.1/keras/saving/legacy/model_config.py#L100-L125) |

Parses a JSON model configuration string and returns a model instance.

#### View aliases


**Compat aliases for migration**

See
[Migration guide](https://www.tensorflow.org/guide/migrate) for
more details.

\`tf.compat.v1.keras.models.model_from_json\`

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    tf.keras.models.model_from_json(
        json_string, custom_objects=None
    )

#### Usage:

    model = tf.keras.Sequential([
        tf.keras.layers.Dense(5, input_shape=(3,)),
        tf.keras.layers.Softmax()])
    config = model.to_json()
    loaded_model = tf.keras.models.model_from_json(config)

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| ## Args ||
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| `json_string` | JSON string encoding a model configuration. |
| `custom_objects` | Optional dictionary mapping names (strings) to custom classes or functions to be considered during deserialization. |

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| ## Returns ||
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| A Keras model instance (uncompiled). ||

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