How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-classification", model="erfansadraiye/ClassifyOffensiveTasks")
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("erfansadraiye/ClassifyOffensiveTasks")
model = AutoModelForSequenceClassification.from_pretrained("erfansadraiye/ClassifyOffensiveTasks")
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Text Detoxification Classification

This is a classification model to detoxify text. It has been fine-tuned on OLID using the BERT model.


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Safetensors
Model size
0.1B params
Tensor type
F32
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