ucberkeley-dlab

/

hate-measure-roberta-large

like 4

import tensorflow as tf
new_model = tf.keras.models.load_model("model_path")

=========================================================================================================

ValueError: The two structures don't have the same nested structure.

First structure: type=tuple str=(({'input_ids': TensorSpec(shape=(None, 5), dtype=tf.int32, name=None)}, None, None, None, None, None, None, None, None, None, None, None, None, False), {})

Second structure: type=tuple str=((TensorSpec(shape=(None, 256), dtype=tf.int32, name='input_ids'), TensorSpec(shape=(None, 256), dtype=tf.int32, name='attention_mask'), None, None, None, None, None, None, None, None, None, None, None, False), {})

More specifically: Substructure "type=dict str={'input_ids': TensorSpec(shape=(None, 5), dtype=tf.int32, name=None)}" is a sequence, while substructure "type=TensorSpec str=TensorSpec(shape=(None, 256), dtype=tf.int32, name='input_ids')" is not
Entire first structure:
(({'input_ids': .}, ., ., ., ., ., ., ., ., ., ., ., ., .), {})
Entire second structure:
((., ., ., ., ., ., ., ., ., ., ., ., ., .), {})