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Update README.md
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README.md
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@@ -14,7 +14,23 @@ pipeline_tag: text-classification
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Detect implicit toxicity in Russian (details will be later :))
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## Model Details
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Detect implicit toxicity in Russian (details will be later :))
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```
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import torch
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from transformers import BertTokenizer, BertForSequenceClassification
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text = <your_text>
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device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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model_name = 'arinakosovskaia/implicit_toxicity'
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tokenizer = BertTokenizer.from_pretrained(model_name)
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model = BertForSequenceClassification.from_pretrained(model_name).to(device)
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encoded_text = tokenizer.encode(text, return_tensors='pt').to(device)
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outputs = model(encoded_text)
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logits = outputs[0]
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prob = torch.nn.functional.softmax(logits, dim=1)[:, 1]
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prob.cpu().detach().numpy()[0]
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```
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## Model Details
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