tf_custom_model_example / configuration_my_model.py
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from transformers import PretrainedConfig
class MyModelConfig(PretrainedConfig):
model_type = "my_model"
def __init__(
self,
n_layers=2,
hidden_dim=3,
**kwargs,
):
self.n_layers = n_layers
self.hidden_dim = hidden_dim
super().__init__(**kwargs)