Update README.md
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README.md
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@@ -19,7 +19,6 @@ news_headline = "Amateur rocket scientists reach for space."
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encoded_input = tokenizer(news_headline, return_tensors='pt')
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output = model(**encoded_input)
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distribution = output.logits.softmax(dim=-1)
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print(distribution)
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```
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Each index of the output vector represents the following:
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encoded_input = tokenizer(news_headline, return_tensors='pt')
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output = model(**encoded_input)
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distribution = output.logits.softmax(dim=-1)
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```
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Each index of the output vector represents the following:
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