s-nlp
/

roberta_toxicity_classifier

Text Classification

toxic comments classification

Inference Endpoints

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dardem commited on 14 days ago

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048c25b

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1 Parent(s): 71af465

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@@ -27,8 +27,7 @@ model = RobertaForSequenceClassification.from_pretrained('s-nlp/roberta_toxicity
 batch = tokenizer.encode("You are amazing!", return_tensors="pt")
 output = model(batch)
-predicted_label = torch.sigmoid(output.logits).argmax().item()
-# 0 for neutral, 1 for toxic
 ```
 ## Citation

 batch = tokenizer.encode("You are amazing!", return_tensors="pt")
 output = model(batch)
+# idx 0 for neutral, idx 1 for toxic
 ```
 ## Citation