
# Dynamically quantized DistilBERT base uncased finetuned MPRC

## Table of Contents
- [Model Details](#model-details)
- [How to Get Started With the Model](#how-to-get-started-with-the-model)

## Model Details
**Model Description:** This model is a [DistilBERT](https://huggingface.co/textattack/distilbert-base-uncased-MRPC) fine-tuned on MPRC dynamically quantized with [optimum-intel](https://github.com/huggingface/optimum-intel) through the usage of [huggingface/optimum-intel](https://github.com/huggingface/optimum-intel) through the usage of [Intel® Neural Compressor](https://github.com/intel/neural-compressor). 
- **Model Type:** Text Classification
- **Language(s):** English
- **License:** Apache-2.0
- **Parent Model:** For more details on the original model, we encourage users to check out [this](https://huggingface.co/textattack/distilbert-base-uncased-MRPC) model card.

## How to Get Started With the Model

### PyTorch

To load the quantized model, you can do as follows:

```python
from optimum.intel.neural_compressor.quantization import IncQuantizedModelForSequenceClassification

model = IncQuantizedModelForSequenceClassification.from_pretrained("Intel/distilbert-base-uncased-MRPC-int8-dynamic")
```

#### Test result

|   |INT8|FP32|
|---|:---:|:---:|
| **Accuracy (eval-f1)** |0.8983|0.9027|
| **Model size (MB)**  |75|268|

{"language": "en", "license": "mit", "tags": ["text-classfication", "nlp", "neural-compressor", "PostTrainingDynamic", "int8", "Intel\u00ae Neural Compressor"], "datasets": ["glue", "mrpc"], "metrics": ["f1"]}
transformers pytorch distilbert text-classification text-classfication nlp neural-compressor PostTrainingDynamic int8 Intel® Neural Compressor en dataset:glue dataset:mrpc license:mit autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #distilbert #text-classification #text-classfication #nlp #neural-compressor #PostTrainingDynamic #int8 #Intel® Neural Compressor #en #dataset-glue #dataset-mrpc #license-mit #autotrain_compatible #endpoints_compatible #region-us 

Dynamically quantized DistilBERT base uncased finetuned MPRC
============================================================


Table of Contents
-----------------


* Model Details
* How to Get Started With the Model


Model Details
-------------


Model Description: This model is a DistilBERT fine-tuned on MPRC dynamically quantized with optimum-intel through the usage of huggingface/optimum-intel through the usage of Intel® Neural Compressor.


* Model Type: Text Classification
* Language(s): English
* License: Apache-2.0
* Parent Model: For more details on the original model, we encourage users to check out this model card.


How to Get Started With the Model
---------------------------------


### PyTorch


To load the quantized model, you can do as follows:


#### Test result




### PyTorch


To load the quantized model, you can do as follows: #### Test result
TAGS
#transformers #pytorch #distilbert #text-classification #text-classfication #nlp #neural-compressor #PostTrainingDynamic #int8 #Intel® Neural Compressor #en #dataset-glue #dataset-mrpc #license-mit #autotrain_compatible #endpoints_compatible #region-us 
 ### PyTorch


To load the quantized model, you can do as follows: #### Test result