readme: ---
  language: en
  license: apache-2.0
  datasets:
  - sst2
  - glue
  tags:
  - openvino
  ---
  
  ## [distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english) exported to the OpenVINO IR.
  
  ## Model Details
  **Model Description:** This model is a fine-tune checkpoint of DistilBERT-base-uncased, fine-tuned on SST-2. This model reaches an accuracy of 91.3 on the dev set.
  
  ## Usage example
  
  You can use this model with Transformers *pipeline*.
  
  ```python
  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)
  ```
  