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README.md
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@@ -23,7 +23,8 @@ model = AutoModelForSequenceClassification.from_pretrained("Social-Media-Fairnes
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classifier = pipeline("text-classification", model=model, tokenizer=tokenizer)
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result = classifier("you are stupid")
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print(result)
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# Caveats and Limitations
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The model's training data originates from a specific dataset (BABE) which might not represent all kinds of biases or content.
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The performance metrics are based on a random validation split, so the model's performance might vary in real-world applications.
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classifier = pipeline("text-classification", model=model, tokenizer=tokenizer)
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result = classifier("you are stupid")
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print(result)
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```
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# Caveats and Limitations
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The model's training data originates from a specific dataset (BABE) which might not represent all kinds of biases or content.
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The performance metrics are based on a random validation split, so the model's performance might vary in real-world applications.
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