DeBERTa
Collection
DeBERTa is a language model that originates from Meta's RoBERTa model with disentangled attention and enhanced mask decoder.
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3 items
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Updated
INT8 deberta-v3-base-mrpc
Post-training static quantization
ONNX
This is an INT8 ONNX model quantized with Intel® Neural Compressor.
The original fp32 model comes from the fine-tuned model Intel/deberta-v3-base-mrpc.
Test result
| INT8 | FP32 | |
|---|---|---|
| Accuracy (eval-f1) | 0.9185 | 0.9223 |
| Model size (MB) | 361 | 705 |
Load ONNX model:
from optimum.onnxruntime import ORTModelForSequenceClassification
model = ORTModelForSequenceClassification.from_pretrained('Intel/deberta-v3-base-mrpc-int8-static')
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