class_docstr: TensorFlow Keras model for penguin classification.
code: def init_spec(cls) -> lit_types.Spec:
      default_model_path = (
          "https://storage.googleapis.com/"
          "what-if-tool-resources/lit-models/penguin.h5"
      )
      return {"path": lit_types.String(default=default_model_path)}
  
file_path: lit/lit_nlp/examples/models/penguin_model.py
imports: from lit_nlp.api import model
  from lit_nlp.api import types
  from lit_nlp.examples.datasets import penguin_data
  from lit_nlp.lib import file_cache
  import numpy
  import tensorflow
label_desc: Use image node_id 4 for calling the PenguinModel obj's underlying member method code with example usage: obj.init_spec(cls) and returns: dict