updating model peptriever_2023-06-23T16:07:24.508460
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README.md
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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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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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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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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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print("distance: ", torch.norm(peptide_output - protein_output, p=2))
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```
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Model checkpint: `peptriever_2023-06-23T16:07:24.508460`
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