Deepchecks/roberta_toxicity_classifier_onnx

This model represents an ONNX-optimized version of the original roberta_toxicity_classifier model. It has been specifically tailored for GPUs and may exhibit variations in performance when run on CPUs.

Dependencies

Please install the following dependency before you begin working with the model:

pip install optimum[onnxruntime-gpu]

How to use

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_toxicity_classifier_onnx')
model = ORTModelForSequenceClassification.from_pretrained('Deepchecks/roberta_toxicity_classifier_onnx')

# prepare the pipeline and generate inferences
pip = pipeline(task='text-classification', model=model, tokenizer=tokenizer, device=device, accelerator="ort")
res = pip(['I hate you', 'I love you'], batch_size=64, truncation="only_first")

Licensing Information

Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.