src/transformers/models/esm/modeling_tf_esm.py/TFEsmEncoder/__init__
class TFEsmEncoder:    def __init__(self, config, name=None):
        super().__init__(name=name)
        self.config = config
        self.layer = [TFEsmLayer(config, name=f"layer_._{i}") for i in range(config.num_hidden_layers)]
        self.emb_layer_norm_after = LayerNormalization(epsilon=config.layer_norm_eps, name="emb_layer_norm_after")