{
"name": "BertNLClassifier",
"description": "Classify the input text into a set of known categories.",
"subgraph_metadata": [
{
"input_tensor_metadata": [
{
"name": "ids",
"description": "Tokenized ids of the input text.",
"content": {
"content_properties_type": "FeatureProperties",
"content_properties": {
}
},
"stats": {
}
},
{
"name": "segment_ids",
"description": "0 for the first sequence, 1 for the second sequence if exists.",
"content": {
"content_properties_type": "FeatureProperties",
"content_properties": {
}
},
"stats": {
}
},
{
"name": "mask",
"description": "Mask with 1 for real tokens and 0 for padding tokens.",
"content": {
"content_properties_type": "FeatureProperties",
"content_properties": {
}
},
"stats": {
}
}
],
"output_tensor_metadata": [
{
"name": "probability",
"description": "Probabilities of the labels respectively.",
"content": {
"content_properties_type": "FeatureProperties",
"content_properties": {
}
},
"stats": {
}
}
],
"input_process_units": [
]
}
]
}