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protectai / distilroberta-bias-onnx
Model's Last Updated: Marzo 25 2024
text-classification
Introduction of distilroberta-bias-onnx
Model Details of distilroberta-bias-onnx
ONNX version of valurank/distilroberta-bias
This model is a conversion of valurank/distilroberta-bias to ONNX format. It is designed to detect biases in text using the distilled version of the RoBERTa model. The model was converted to ONNX using the 🤗 Optimum library.
Model Architecture
Base Model : DistilRoBERTa, a distilled version of the RoBERTa model that is optimized for faster performance while maintaining similar accuracy.
Modifications : The model is converted to ONNX format with no additional changes.
Usage
Optimum
Loading the model requires the 🤗 Optimum library installed.
from optimum.onnxruntime import ORTModelForSequenceClassification
from transformers import AutoTokenizer, pipeline
tokenizer = AutoTokenizer.from_pretrained("laiyer/distilroberta-bias-onnx")
model = ORTModelForSequenceClassification.from_pretrained("laiyer/distilroberta-bias-onnx")
classifier = pipeline(
task="text-classification",
model=model,
tokenizer=tokenizer,
)
classifier_output = classifier("Your text to analyze for bias.")
score = (classifier_output[0]["score"] if classifier_output[0]["label"] == "BIASED" else 1 - classifier_output[0]["score"])
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Community
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Runs of protectai distilroberta-bias-onnx on huggingface.co
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More Information About distilroberta-bias-onnx huggingface.co Model
Url of distilroberta-bias-onnx
distilroberta-bias-onnx huggingface.co Url
Provider of distilroberta-bias-onnx huggingface.co
Other API from protectai
Updated: Marzo 06 2025
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