package=ai.vespa.example.paragraph

# WordPiece tokenizer vocabulary
vocab model

model model

myValue string

# Max length of token sequence model can handle
transforerMaxTokens int default=128

# Pooling strategy
poolingStrategy enum { cls, mean } default=mean

# Input names
transformerInputIds string default=input_ids
transformerAttentionMask string default=attention_mask

# Output name
transformerOutput string default=last_hidden_state

# Settings for ONNX model evaluation
onnxExecutionMode enum { parallel, sequential } default=sequential
onnxInterOpThreads int default=1
onnxIntraOpThreads int default=-4