readme: ---
  language: en
  license: apache-2.0
  tags:
  - text-classfication
  - int8
  - Intel® Neural Compressor
  - PostTrainingDynamic
  - onnx
  datasets: 
  - glue
  metrics:
  - f1
  ---
  
  # INT8 albert-base-v2-sst2
  
  ## Post-training dynamic quantization
  
  ### 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 [Alireza1044/albert-base-v2-sst2](https://huggingface.co/Alireza1044/albert-base-v2-sst2).
  
  #### Test result
  
  |   |INT8|FP32|
  |---|:---:|:---:|
  | **Accuracy (eval-f1)** |0.9140|0.9232|
  | **Model size (MB)**  |57|45|
  
  
  #### Load ONNX model:
  
  ```python
  from optimum.onnxruntime import ORTModelForSequenceClassification
  model = ORTModelForSequenceClassification.from_pretrained('Intel/albert-base-v2-sst2-int8-dynamic')
  ```
  
  