readme: ---
  language: en
  license: apache-2.0
  datasets:
  - sst2
  - glue
  metrics:
  - accuracy
  tags:
  - text-classfication
  - int8
  - onnx
  ---
  
  # Dynamically quantized DistilBERT base uncased finetuned SST-2
  
  ## Table of Contents
  - [Model Details](#model-details)
  - [How to Get Started With the Model](#how-to-get-started-with-the-model)
  
  ## Model Details
  **Model Description:** This model is a [DistilBERT](https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english) fine-tuned on SST-2 dynamically quantized with [optimum-intel](https://github.com/huggingface/optimum-intel) through the usage of [huggingface/optimum-intel](https://github.com/huggingface/optimum-intel) through the usage of [Intel® Neural Compressor](https://github.com/intel/neural-compressor). 
  - **Model Type:** Text Classification
  - **Language(s):** English
  - **License:** Apache-2.0
  - **Parent Model:** For more details on the original model, we encourage users to check out [this](https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english) model card.
  
  ## How to Get Started With the Model
  
  ### PyTorch
  
  To load the quantized model, you can do as follows:
  
  ```python
  from optimum.intel.neural_compressor.quantization import IncQuantizedModelForSequenceClassification
  
  model = IncQuantizedModelForSequenceClassification.from_pretrained("Intel/distilbert-base-uncased-finetuned-sst-2-english-int8-dynamic")
  ```
  
  ### ONNX
  
  This is an INT8 ONNX model quantized with [Intel® Neural Compressor](https://github.com/intel/neural-compressor).
  
  The original fp32 model comes from the fine-tuned model [DistilBERT](https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english).
  
  #### Test result
  
  |   |INT8|FP32|
  |---|:---:|:---:|
  | **Accuracy (eval-f1)** |0.9037|0.9106|
  | **Model size (MB)**  |73|256|
  
  #### Load ONNX model:
  
  ```python
  from optimum.onnxruntime import ORTModelForSequenceClassification
  model = ORTModelForSequenceClassification.from_pretrained('Intel/distilbert-base-uncased-finetuned-sst-2-english-int8-dynamic')
  ```
  