BERT
Collection
BERT models of varying flavors
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INT8 BERT base uncased finetuned QNLI
Post-training static quantization
PyTorch
This is an INT8 PyTorch model quantized with huggingface/optimum-intel through the usage of Intel® Neural Compressor.
The original fp32 model comes from the fine-tuned model textattack/bert-base-uncased-QNLI.
Test result
| INT8 | FP32 | |
|---|---|---|
| Accuracy (eval-f1) | 0.9081 | 0.9154 |
| Model size (MB) | 133 | 438 |
Load with optimum:
from optimum.intel import INCModelForSequenceClassification
model_id = "Intel/bert-base-uncased-QNLI-int8"
int8_model = INCModelForSequenceClassification.from_pretrained(model_id)
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