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updating model peptriever_2023-06-23T16:07:24.508460

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+ ---
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+ language: en
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+ license: mit
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+ datasets:
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+ - ronig/protein_binding_sequences
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+ ---
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+ # Protein BiEncoder Bert Model
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+
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+ Usage
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+ ```python
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+ tokenizer = AutoTokenizer.from_pretrained("ronig/protein_biencoder")
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+ model = BiEncoder.from_pretrained("ronig/protein_biencoder")
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+ model.eval()
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+
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+ peptide_sequence = "AAA"
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+ protein_sequence = "MMM"
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+ encoded_peptide = tokenizer.encode_plus(peptide_sequence, return_tensors='pt')
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+ encoded_protein = tokenizer.encode_plus(protein_sequence, return_tensors='pt')
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+
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+ with torch.no_grad():
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+ peptide_output = model.forward1(encoded_peptide)
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+ protein_output = model.forward2(encoded_protein)
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+
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+ print("distance: ", torch.norm(peptide_output - protein_output, p=2))
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+ ```
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+
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+ Model checkpint: `peptriever_2023-06-23T16:07:24.508460`