File size: 1,287 Bytes
b9e51ec c569252 b9e51ec c569252 75a71a1 c569252 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 |
---
language:
- en
tags:
- formality
license: cc-by-nc-sa-4.0
---
This model represents an ONNX-optimized version of the original [roberta-base-formality-ranker](https://huggingface.co/s-nlp/roberta-base-formality-ranker) 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/roberta_base_formality_ranker_onnx')
model = ORTModelForSequenceClassification.from_pretrained('Deepchecks/roberta_base_formality_ranker_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")
```
## Licensing Information
[Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License][cc-by-nc-sa].
[![CC BY-NC-SA 4.0][cc-by-nc-sa-image]][cc-by-nc-sa]
[cc-by-nc-sa]: http://creativecommons.org/licenses/by-nc-sa/4.0/
[cc-by-nc-sa-image]: https://i.creativecommons.org/l/by-nc-sa/4.0/88x31.png |