BERT
Collection
BERT models of varying flavors
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INT8 bert-large-uncased-rte-int8-static
Post-training static quantization
PyTorch
This is an INT8 PyTorch model quantized with Intel® Neural Compressor.
The original fp32 model comes from the fine-tuned model yoshitomo-matsubara/bert-large-uncased-rte.
Test result
| INT8 | FP32 | |
|---|---|---|
| Accuracy (eval-f1) | 0.7365 | 0.7401 |
| Model size (MB) | 1244 | 1349 |
Load with Intel® Neural Compressor:
from optimum.intel import INCModelForSequenceClassification
model_id = "Intel/bert-large-uncased-rte-int8-static"
int8_model = INCModelForSequenceClassification.from_pretrained(model_id)
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