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ThanaritKanjanametawat
commited on
Commit
·
0bd9ff0
1
Parent(s):
825e56e
Move everything to CPU 2
Browse files- ModelDriver.py +4 -4
ModelDriver.py
CHANGED
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@@ -61,8 +61,8 @@ def RobertaSentinelCSAbstractInference(input_text):
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def RobertaClassifierOpenGPTInference(input_text):
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tokenizer = RobertaTokenizer.from_pretrained("roberta-base")
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model_path = "ClassifierCheckpoint/RobertaClassifierOpenGPT.pth"
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model = RobertaForSequenceClassification.from_pretrained('roberta-base', num_labels=2
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model.load_state_dict(torch.load(model_path))
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model = model.to(torch.device('cpu'))
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model.eval()
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@@ -83,8 +83,8 @@ def RobertaClassifierOpenGPTInference(input_text):
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def RobertaClassifierCSAbstractInference(input_text):
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tokenizer = RobertaTokenizer.from_pretrained("roberta-base")
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model_path = "ClassifierCheckpoint/RobertaClassifierCSAbstract.pth"
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model = RobertaForSequenceClassification.from_pretrained('roberta-base', num_labels=2
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model.load_state_dict(torch.load(model_path))
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model = model.to(torch.device('cpu'))
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model.eval()
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def RobertaClassifierOpenGPTInference(input_text):
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tokenizer = RobertaTokenizer.from_pretrained("roberta-base")
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model_path = "ClassifierCheckpoint/RobertaClassifierOpenGPT.pth"
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model = RobertaForSequenceClassification.from_pretrained('roberta-base', num_labels=2)
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model.load_state_dict(torch.load(model_path), map_location=device)
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model = model.to(torch.device('cpu'))
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model.eval()
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def RobertaClassifierCSAbstractInference(input_text):
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tokenizer = RobertaTokenizer.from_pretrained("roberta-base")
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model_path = "ClassifierCheckpoint/RobertaClassifierCSAbstract.pth"
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model = RobertaForSequenceClassification.from_pretrained('roberta-base', num_labels=2)
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model.load_state_dict(torch.load(model_path, map_location=device))
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model = model.to(torch.device('cpu'))
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model.eval()
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