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namespace=embedding.huggingface
# Path to tokenizer.json
tokenizerPath model
# Path to model.onnx
transformerModel model
# Max length of token sequence model can handle
transformerMaxTokens int default=512
# Input names
transformerInputIds string default=input_ids
transformerAttentionMask string default=attention_mask
transformerTokenTypeIds string default=token_type_ids
# Output name
transformerOutput string default=last_hidden_state
# Normalize tensors from tokenizer
normalize bool default=false
poolingStrategy enum { cls, mean } default=mean
# Settings for ONNX model evaluation
transformerExecutionMode enum { parallel, sequential } default=sequential
transformerInterOpThreads int default=1
transformerIntraOpThreads int default=-4
# GPU device id, -1 for CPU
transformerGpuDevice int default=0
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