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README.md
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@@ -3,6 +3,7 @@ license: apache-2.0
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---
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Text Detoxification Task is a process of transforming the text with toxic style into the text with the same meaning but with neutral style
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# Load model directly
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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@@ -11,6 +12,7 @@ device = 'cuda' if torch.cuda.is_available() else 'cpu'
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tokenizer = AutoTokenizer.from_pretrained("the-hir0/t5-small-detoxify")
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model = AutoModelForSeq2SeqLM.from_pretrained("the-hir0/t5-small-detoxify").to(device)
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---
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Text Detoxification Task is a process of transforming the text with toxic style into the text with the same meaning but with neutral style
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```
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# Load model directly
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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tokenizer = AutoTokenizer.from_pretrained("the-hir0/t5-small-detoxify")
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model = AutoModelForSeq2SeqLM.from_pretrained("the-hir0/t5-small-detoxify").to(device)
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input_ids = tokenizer(inference_request, return_tensors="pt", padding=True).input_ids.to(device)
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outputs = model.generate(input_ids=input_ids)
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tokenizer.batch_decode(outputs, skip_special_tokens=True,temperature=0)
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```
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