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---
license: apache-2.0
tags:
- int8
- Intel® Neural Compressor
- neural-compressor
- PostTrainingDynamic
datasets:
- cnn_dailymail
metrics:
- rougeLsum
---
# INT8 T5 base finetuned on CNN DailyMail
### Post-training dynamic quantization
This is an INT8 PyTorch model quantized with [huggingface/optimum-intel](https://github.com/huggingface/optimum-intel) through the usage of [Intel® Neural Compressor](https://github.com/intel/neural-compressor).
The original fp32 model comes from the fine-tuned model [flax-community/t5-base-cnn-dm](https://huggingface.co/flax-community/t5-base-cnn-dm).
### Evaluation result
| |INT8|FP32|
|---|:---:|:---:|
| **Accuracy (eval-rougeLsum)** | 36.5661 |36.5959|
| **Model size** |326M|892M|
### Load with optimum:
```python
from optimum.intel.neural_compressor.quantization import IncQuantizedModelForSeq2SeqLM
int8_model = IncQuantizedModelForSeq2SeqLM.from_pretrained(
'Intel/t5-base-cnn-dm-int8-dynamic',
)
```
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