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b4c0n
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KAi-Toxicity-Filter

Text Classification
Transformers
Safetensors
Japanese
bert
toxicity-detection
japanese
fine-tuned
Eval Results (legacy)
Model card Files
xet
 Community
b4c0n commited on
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1 Parent(s): 515f4a8

Update README.md

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  1. README.md +2 -2
README.md CHANGED
@@ -58,7 +58,7 @@ model_name = "b4c0n/KAi-toxicity-filter"
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  tokenizer = AutoTokenizer.from_pretrained(model_name)
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  model = AutoModelForSequenceClassification.from_pretrained(model_name)
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- text = "死ね"
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  inputs = tokenizer(text, return_tensors="pt")
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  outputs = model(**inputs)
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@@ -140,7 +140,7 @@ model_name = "your-username/KAi-toxicity-filter"
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  tokenizer = AutoTokenizer.from_pretrained(model_name)
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  model = AutoModelForSequenceClassification.from_pretrained(model_name)
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- text = "死ね"
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  inputs = tokenizer(text, return_tensors="pt")
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  outputs = model(**inputs)
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  tokenizer = AutoTokenizer.from_pretrained(model_name)
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  model = AutoModelForSequenceClassification.from_pretrained(model_name)
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+ text = "終わってる暴言"
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  inputs = tokenizer(text, return_tensors="pt")
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  outputs = model(**inputs)
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  tokenizer = AutoTokenizer.from_pretrained(model_name)
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  model = AutoModelForSequenceClassification.from_pretrained(model_name)
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+ text = "toxic expression"
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  inputs = tokenizer(text, return_tensors="pt")
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  outputs = model(**inputs)
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