distilbert-base-uncased-finetuned-sst-2-english

模型详情

模型描述：此模型是DistilBERT-base-uncased的微调检查点，通过对SST-2数据集进行微调而得到。该模型在开发集上达到了91.3的准确度。

使用示例

您可以使用此模型与Transformers pipeline一起使用。

from transformers import AutoTokenizer, pipeline
from optimum.intel.openvino import OVModelForSequenceClassification

model_id = "echarlaix/distilbert-base-uncased-finetuned-sst-2-english-openvino"
model = OVModelForSequenceClassification.from_pretrained(model_id)
tokenizer = AutoTokenizer.from_pretrained(model_id)
cls_pipe = pipeline("text-classification", model=model, tokenizer=tokenizer)
text = "He's a dreadful magician."
outputs = cls_pipe(text)