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bert-large-uncased-rte-int8-dynamic-inc
Intel/bert-large-uncased-rte-int8-dynamic-inc
bert-large-uncased-rte-int8-dynamic-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.
All-time downloads
637
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Repo size
766 MB
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1
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Repo makeup
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- May 9, 2023
- Updated
- Mar 21, 2024
- SHA
- e0ddfa49
Try a prompt
Datasets
Model card
From the Hugging Face model README
INT8 bert-large-uncased-rte-int8-dynamic
Post-training dynamic 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) | 0.7076 | 0.7401 |
| Model size (MB) | 766 | 1349 |
Load with Intel® Neural Compressor:
from optimum.intel import INCModelForSequenceClassification
model_id = "Intel/bert-large-uncased-rte-int8-dynamic"
int8_model = INCModelForSequenceClassification.from_pretrained(model_id)
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Languages
- en
- Created
- May 9, 2023
- Updated
- Mar 21, 2024