modeling_tf_my_model.py

import tensorflow as tf

from transformers.modeling_tf_utils import TFPreTrainedModel

from configuration_my_model import MyModelConfig


class TFMyModelPretrainedModel(TFPreTrainedModel):
    config_class = MyModelConfig


class TFMyModel(TFMyModelPretrainedModel):

    def __init__(self, config: MyModelConfig):
        super().__init__(config)
        self.config = config

        self.n_layers = config.n_layers
        self.hidden_dim = config.hidden_dim
        self.linear = tf.keras.layers.Dense(units=config.n_layers)


config = MyModelConfig()
model = TFMyModel(config)
print(model)
model.save_pretrained("my_model")