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Update README.md

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@@ -45,7 +45,7 @@ Morgan chemical fingerprint with an MLP decoder. The model is tuned with 100 run
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  from tdc import tdc_hf_interface
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  tdc_hf = tdc_hf_interface("CYP3A4_Veith-Morgan")
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  # load deeppurpose model from this repo
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- dp_model = tdc_hf_herg.load_deeppurpose('./data')
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  tdc_hf.predict_deeppurpose(dp_model, ['YOUR SMILES STRING'])
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  ```
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  from tdc import tdc_hf_interface
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  tdc_hf = tdc_hf_interface("CYP3A4_Veith-Morgan")
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  # load deeppurpose model from this repo
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+ dp_model = tdc_hf.load_deeppurpose('./data')
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  tdc_hf.predict_deeppurpose(dp_model, ['YOUR SMILES STRING'])
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  ```
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