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Update readme.md

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@@ -90,17 +90,17 @@ with torch.no_grad():
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  prediction = model.unscale(prediction)
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  ```
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- ## Model Inputs
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  - **Target sequence**: RNA sequence using nucleotides A, U, G, C (string)
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  - **Drug SMILES**: Simplified Molecular Input Line Entry System notation (string)
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- ## Model Outputs
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  - **Binding affinity**: Predicted pKd binding affinity score (float)
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  - **Attention weights**: Cross-attention weights for interpretability analysis (when enabled)
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- ## Interpretability Features
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  The model includes advanced interpretability capabilities:
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  prediction = model.unscale(prediction)
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  ```
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+ ## Model inputs
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  - **Target sequence**: RNA sequence using nucleotides A, U, G, C (string)
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  - **Drug SMILES**: Simplified Molecular Input Line Entry System notation (string)
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+ ## Model outputs
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  - **Binding affinity**: Predicted pKd binding affinity score (float)
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  - **Attention weights**: Cross-attention weights for interpretability analysis (when enabled)
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+ ## Interpretability features
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  The model includes advanced interpretability capabilities:
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