# INT8 bart-large-mrpc

##  Post-training dynamic quantization

### PyTorch

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 [bart-large-mrpc](https://huggingface.co/Intel/bart-large-mrpc).

#### Test result

|   |INT8|FP32|
|---|:---:|:---:|
| **Accuracy (eval-f1)** |0.9051|0.9120|
| **Model size (MB)**  |547|1556.48|

#### Load with optimum:

```python
from optimum.intel.neural_compressor.quantization import IncQuantizedModelForSequenceClassification
int8_model = IncQuantizedModelForSequenceClassification.from_pretrained(
    'Intel/bart-large-mrpc-int8-dynamic',
)
```

### ONNX

This is an INT8 ONNX model quantized with [Intel® Neural Compressor](https://github.com/intel/neural-compressor).

The original fp32 model comes from the fine-tuned model [bart-large-mrpc](https://huggingface.co/Intel/bart-large-mrpc).

#### Test result

|   |INT8|FP32|
|---|:---:|:---:|
| **Accuracy (eval-f1)** |0.9236|0.9120|
| **Model size (MB)**  |764|1555|


#### Load ONNX model:

```python
from optimum.onnxruntime import ORTModelForSequenceClassification
model = ORTModelForSequenceClassification.from_pretrained('Intel/bart-large-mrpc-int8-dynamic')
```
{"language": ["en"], "license": "apache-2.0", "tags": ["text-classfication", "int8", "Intel\u00ae Neural Compressor", "PostTrainingDynamic", "onnx"], "datasets": ["glue"], "metrics": ["f1"], "model-index": [{"name": "bart-large-mrpc-int8-dynamic", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "GLUE MRPC", "type": "glue", "args": "mrpc"}, "metrics": [{"type": "f1", "value": 0.9050847457627118, "name": "F1"}]}]}]}
transformers pytorch onnx bart text-classification text-classfication int8 Intel® Neural Compressor PostTrainingDynamic en dataset:glue license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #onnx #bart #text-classification #text-classfication #int8 #Intel® Neural Compressor #PostTrainingDynamic #en #dataset-glue #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us 

INT8 bart-large-mrpc
====================


Post-training dynamic quantization
----------------------------------


### PyTorch


This is an INT8 PyTorch model quantized with huggingface/optimum-intel through the usage of Intel® Neural Compressor.


The original fp32 model comes from the fine-tuned model bart-large-mrpc.


#### Test result



#### Load with optimum:


### ONNX


This is an INT8 ONNX model quantized with Intel® Neural Compressor.


The original fp32 model comes from the fine-tuned model bart-large-mrpc.


#### Test result



#### Load ONNX model:



### PyTorch


This is an INT8 PyTorch model quantized with huggingface/optimum-intel through the usage of Intel® Neural Compressor.


The original fp32 model comes from the fine-tuned model bart-large-mrpc. #### Test result #### Load with optimum: ### ONNX


This is an INT8 ONNX model quantized with Intel® Neural Compressor.


The original fp32 model comes from the fine-tuned model bart-large-mrpc. #### Test result #### Load ONNX model:
TAGS
#transformers #pytorch #onnx #bart #text-classification #text-classfication #int8 #Intel® Neural Compressor #PostTrainingDynamic #en #dataset-glue #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us 
 ### PyTorch


This is an INT8 PyTorch model quantized with huggingface/optimum-intel through the usage of Intel® Neural Compressor.


The original fp32 model comes from the fine-tuned model bart-large-mrpc. #### Test result #### Load with optimum: ### ONNX


This is an INT8 ONNX model quantized with Intel® Neural Compressor.


The original fp32 model comes from the fine-tuned model bart-large-mrpc. #### Test result #### Load ONNX model:
passage: TAGS
#transformers #pytorch #onnx #bart #text-classification #text-classfication #int8 #Intel® Neural Compressor #PostTrainingDynamic #en #dataset-glue #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us 
### PyTorch


This is an INT8 PyTorch model quantized with huggingface/optimum-intel through the usage of Intel® Neural Compressor.


The original fp32 model comes from the fine-tuned model bart-large-mrpc.#### Test result#### Load with optimum:### ONNX


This is an INT8 ONNX model quantized with Intel® Neural Compressor.


The original fp32 model comes from the fine-tuned model bart-large-mrpc.#### Test result#### Load ONNX model: