Update README.md

README.md

@@ -28,8 +28,8 @@ python -m pip install optimum[onnxruntime]@git+https://github.com/huggingface/op
 from optimum.onnxruntime import ORTModelForSequenceClassification
 from transformers import AutoTokenizer, pipeline
 
-model = ORTModelForSequenceClassification.from_pretrained('Ngit/MiniLMv2-userflow-v2-onnx', provider="CPUExecutionProvider")
-tokenizer = AutoTokenizer.from_pretrained('Ngit/MiniLMv2-userflow-v2-onnx', use_fast=True, model_max_length=256, truncation=True, padding='max_length')
+model = ORTModelForSequenceClassification.from_pretrained('minuva/MiniLMv2-userflow-v2-onnx', provider="CPUExecutionProvider")
+tokenizer = AutoTokenizer.from_pretrained('minuva/MiniLMv2-userflow-v2-onnx', use_fast=True, model_max_length=256, truncation=True, padding='max_length')
 
 pipe = pipeline(task='text-classification', model=model, tokenizer=tokenizer, )
 texts = ["that's wrong", "can you please answer me?"]