fondress
/

PDeepPP_ACE

Text Classification

protein language model

Model card Files Files and versions

fondress commited on Apr 14, 2025

Commit

612f05f

·

verified ·

1 Parent(s): 6829651

Update README.md

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README.md +2 -2

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@@ -53,7 +53,7 @@ from transformers import AutoModel, AutoTokenizer
 # Load `PDeepPP` model
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 print(f"Using {device} device")
-model = AutoModel.from_pretrained("YourModelName/`PDeepPP`", trust_remote_code=True)
 model.to(device)
 # Example protein sequences
@@ -77,7 +77,7 @@ from transformers import AutoModel
 # Load `PDeepPP` model
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 print(f"Using {device} device")
-model = AutoModel.from_pretrained("YourModelName/`PDeepPP`", trust_remote_code=True)
 model.to(device)
 # Example protein sequences

 # Load `PDeepPP` model
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 print(f"Using {device} device")
+model = AutoModel.from_pretrained("fondress/PDeepPP_ACE", trust_remote_code=True)
 model.to(device)
 # Example protein sequences
 # Load `PDeepPP` model
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 print(f"Using {device} device")
+model = AutoModel.from_pretrained("fondress/PDeepPP_ACE", trust_remote_code=True)
 model.to(device)
 # Example protein sequences