---
language:
- en
tags:
- fluency
license: apache-2.0
---

This model represents an ONNX-optimized version of the original [parrot_fluency_model](https://huggingface.co/prithivida/parrot_fluency_model) model.
It has been specifically tailored for GPUs and may exhibit variations in performance when run on CPUs.

## How to use
```python
from transformers import AutoTokenizer
from optimum.onnxruntime import ORTModelForSequenceClassification
from optimum.pipelines import pipeline

# load tokenizer and model weights
tokenizer = AutoTokenizer.from_pretrained('Deepchecks/parrot_fluency_model_onnx')
model = ORTModelForSequenceClassification.from_pretrained('Deepchecks/parrot_fluency_model_onnx')

# prepare the pipeline and generate inferences
pip = pipeline(task='text-classification', model=onnx_model, tokenizer=tokenizer, device=device, accelerator="ort")
res = pip(user_inputs, batch_size=64, truncation="only_first")

```