Edit model card

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-f1) 0.9140 0.9232
Model size (MB) 57 45

Load ONNX model:

from optimum.onnxruntime import ORTModelForSequenceClassification
model = ORTModelForSequenceClassification.from_pretrained('Intel/albert-base-v2-sst2-int8-dynamic')
Downloads last month
8
Hosted inference API
Text Classification
Examples
Examples
This model can be loaded on the Inference API on-demand.

Dataset used to train Intel/albert-base-v2-sst2-int8-dynamic