toxicity_rubert

75
—
by
fasherr
Embedding Model
OTHER
New
75 downloads
Early-stage
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Quick Summary

AI model with specialized capabilities.

Code Examples

[{'label': 'NEUTRAL', 'score': 0.99...}]pythontransformers
from transformers import pipeline

classifier = pipeline("text-classification", model="fasherr/toxicity_rubert")
text_1 = "Ты сегодня прекрасно выглядишь!"
text_2 = "Ты очень плохой человек"
print(classifier(text_1))
# [{'label': 'NEUTRAL', 'score': 0.99...}]
print(classifier(text_2))
#[{'label': 'TOXIC', 'score': 1}]

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