from optimum.onnxruntime import ORTModelForSequenceClassification from transformers import AutoTokenizer from optimum.pipelines import pipeline model = ORTModelForSequenceClassification.from_pretrained( "t", provider="CUDAExecutionProvider" ) tokenizer = AutoTokenizer.from_pretrained("tooka") pipe = pipeline("text-classification", model=model, tokenizer=tokenizer, accelerator="ort") print(pipe("This is great")) throws: RuntimeError: Error when binding input: There's no data transfer registered for copying tensors from Device:[DeviceType:1 MemoryType:0 DeviceId:0] to Device:[DeviceType:0 MemoryType:0 DeviceId:0] It works with cpu fine. And here is available providers: Available providers: ['TensorrtExecutionProvider', 'CUDAExecutionProvider', 'CPUExecutionProvider'] i have tried different versions of onnx based on the recommendations on the web without success. Continue reading...