kevinng77/unsup_bert_L3

# transformers==4.29.1

from transformers import AutoTokenizer, pipeline
from optimum.onnxruntime import ORTModelForSequenceClassification

onnx_model_path = "kevinng77/unsup_bert_L3"
tokenizer = AutoTokenizer.from_pretrained(onnx_model_path)

onnx_model = ORTModelForSequenceClassification.from_pretrained(onnx_model_path)
onnx_pipe = pipeline(task="text-classification", model=onnx_model, tokenizer=tokenizer)
onnx_pipe("How many rows are there in the table?")