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Update app.py
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app.py
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@@ -5,14 +5,14 @@ import torch, json
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token = AutoTokenizer.from_pretrained('distilbert-base-uncased-finetuned-sst-2-english')
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types = [0,1]
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inf_session = onnxruntime.InferenceSession('classifier_quantized.onnx')
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input_name = inf_session.get_inputs()[0].name
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output_name = inf_session.get_outputs()[0].name
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def classify(review):
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input_ids = token(review)['
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logits = inf_session.run([output_name],{input_name: [input_ids]})[0]
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logits = torch.FloatTensorlogits(logits)
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probs = torch.sigmoid(logits)[0]
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token = AutoTokenizer.from_pretrained('distilbert-base-uncased-finetuned-sst-2-english')
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types = [{0:'positive'},{1:'Negative'}]
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inf_session = onnxruntime.InferenceSession('classifier_quantized.onnx')
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input_name = inf_session.get_inputs()[0].name
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output_name = inf_session.get_outputs()[0].name
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def classify(review):
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input_ids = token(review)['input_ids'][:512]
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logits = inf_session.run([output_name],{input_name: [input_ids]})[0]
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logits = torch.FloatTensorlogits(logits)
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probs = torch.sigmoid(logits)[0]
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