albert-base-v2-sst2-int8-dynamic-inc – AI Model by Intel | AlphaNeural AI

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Intel/
albert-base-v2-sst2-int8-dynamic-inc

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text-classification

text-classfication

Intel® Neural Compressor

PostTrainingDynamic

autotrain_compatible

endpoints_compatible

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INT8 albert-base-v2-sst2

Post-training dynamic quantization

ONNX

This is an INT8 ONNX model quantized with Intel® Neural Compressor.

The original fp32 model comes from the fine-tuned model Alireza1044/albert-base-v2-sst2.

Test result

	INT8	FP32
Accuracy (eval-accuracy)	0.9186	0.9232
Model size (MB)	59	45

Load ONNX model:

python

from optimum.onnxruntime import ORTModelForSequenceClassification
model = ORTModelForSequenceClassification.from_pretrained('Intel/albert-base-v2-sst2-int8-dynamic')