模型:
helenai/distilbert-base-uncased-distilled-squad-ov-fp32
这是转换为 OpenVINO 的 distilbert-base-uncased-distilled-squad 模型,用于加速推断。
一个关于如何对此模型进行推断的示例:
from optimum.intel.openvino import OVModelForQuestionAnswering from transformers import AutoTokenizer, pipeline # model_id should be set to either a local directory or a model available on the HuggingFace hub. model_id = "helenai/distilbert-base-uncased-distilled-squad-ov-fp32" tokenizer = AutoTokenizer.from_pretrained(model_id) model = OVModelForQuestionAnswering.from_pretrained(model_id) pipe = pipeline("question-answering", model=model, tokenizer=tokenizer) result = pipe("What is OpenVINO?", "OpenVINO is a framework that accelerates deep learning inferencing") print(result)