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  # BindScreen Frozen
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- This model corresponds to the BindScreen frozen configuration, in which both encoders are frozen and only the projection layers are trained on filtered ChEMBL.
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  \[[Github Repo](https://github.com/pcdslab/BindScreen)\] | \[[Dataset on HuggingFace](https://huggingface.co/datasets/SaeedLab/BindScreen)\] | \[[Model Collection](https://huggingface.co/collections/SaeedLab/bindscreen)\] | \[[Cite](#citation)\]
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  # bindscreen
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  bindscreen = AutoModel.from_pretrained(
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- 'SaeedLab/BindScreen-Frozen',
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  trust_remote_code=True
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  ).eval()
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  # BindScreen Frozen
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+ This model corresponds to the BindScreen frozen configuration, in which both encoders are frozen and only the projection layers are trained on filtered ChEMBL for LIT-PCBA.
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  \[[Github Repo](https://github.com/pcdslab/BindScreen)\] | \[[Dataset on HuggingFace](https://huggingface.co/datasets/SaeedLab/BindScreen)\] | \[[Model Collection](https://huggingface.co/collections/SaeedLab/bindscreen)\] | \[[Cite](#citation)\]
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  # bindscreen
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  bindscreen = AutoModel.from_pretrained(
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+ 'SaeedLab/BindScreen-Frozen-LIT_PCBA',
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  trust_remote_code=True
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  ).eval()
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