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Update README.md

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@@ -31,7 +31,7 @@ outputs = model(**inputs)
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  # The outputs are raw logits; apply a softmax function to obtain probabilities
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  probabilities = torch.nn.functional.softmax(outputs.logits, dim=-1)
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-
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  Limitations and Bias
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  The model was trained on a specific dataset with particular characteristics. It might not generalize well to organisms with different genomic properties, such as a significantly different GC content.
 
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  # The outputs are raw logits; apply a softmax function to obtain probabilities
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  probabilities = torch.nn.functional.softmax(outputs.logits, dim=-1)
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+ ```
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  Limitations and Bias
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  The model was trained on a specific dataset with particular characteristics. It might not generalize well to organisms with different genomic properties, such as a significantly different GC content.