src/transformers/models/clip/modeling_flax_clip.py/FlaxCLIPPreTrainedModel/__init__
class FlaxCLIPPreTrainedModel:    def __init__(
        self,
        config: CLIPConfig,
        input_shape: Optional[Tuple] = None,
        seed: int = 0,
        dtype: jnp.dtype = jnp.float32,
        _do_init: bool = True,
        **kwargs,
    ):
        if input_shape is None:
            input_shape = ((1, 1), (1, config.vision_config.image_size, config.vision_config.image_size, 3))
        module = self.module_class(config=config, dtype=dtype, **kwargs)
        super().__init__(config, module, input_shape=input_shape, seed=seed, dtype=dtype, _do_init=_do_init)