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Intel/bert-large-uncased-rte-int8-static-inc
bert-large-uncased-rte-int8-static-inc is a text classification model from Intel. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
This is an INT8 PyTorch model quantized with Intel® Neural Compressor.
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From the Hugging Face model README
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.
| INT8 | FP32 | |
|---|---|---|
| Accuracy (eval-f1) | 0.7365 | 0.7401 |
| Model size (MB) | 1244 | 1349 |
from optimum.intel import INCModelForSequenceClassification
model_id = "Intel/bert-large-uncased-rte-int8-static"
int8_model = INCModelForSequenceClassification.from_pretrained(model_id)