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--- |
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language: en |
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license: apache-2.0 |
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tags: |
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- text-classfication |
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- int8 |
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- Intel® Neural Compressor |
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- PostTrainingDynamic |
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- onnx |
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datasets: |
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- mrpc |
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metrics: |
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- f1 |
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--- |
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# INT8 albert-base-v2-sst2 |
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## Post-training dynamic quantization |
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### ONNX |
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This is an INT8 ONNX model quantized with [Intel® Neural Compressor](https://github.com/intel/neural-compressor). |
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The original fp32 model comes from the fine-tuned model [Alireza1044/albert-base-v2-sst2](https://huggingface.co/Alireza1044/albert-base-v2-sst2). |
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#### Test result |
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| |INT8|FP32| |
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|---|:---:|:---:| |
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| **Accuracy (eval-f1)** |0.9140|0.9232| |
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| **Model size (MB)** |57|45| |
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#### Load ONNX model: |
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```python |
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from optimum.onnxruntime import ORTModelForSequenceClassification |
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model = ORTModelForSequenceClassification.from_pretrained('Intel/albert-base-v2-sst2-int8-dynamic') |
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``` |
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