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arinakosovskaia/
implicit_toxicity

Name: implicit_toxicity
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Detect implicit toxicity in Russian (details will be later :))

import torch
from transformers import BertTokenizer, BertForSequenceClassification

text = <your_text>
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
model_name = 'arinakosovskaia/implicit_toxicity'
tokenizer = BertTokenizer.from_pretrained(model_name)
model = BertForSequenceClassification.from_pretrained(model_name).to(device)

encoded_text = tokenizer.encode(text, return_tensors='pt').to(device)
outputs = model(encoded_text)

logits = outputs[0]
prob = torch.nn.functional.softmax(logits, dim=1)[:, 1]
prob.cpu().detach().numpy()[0]

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