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app.py
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@@ -8,9 +8,9 @@ import json
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deep_scc_model_args = ClassificationArgs(num_train_epochs=10,max_seq_length=300,use_multiprocessing=False)
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deep_scc_model = ClassificationModel("roberta", "NTUYG/DeepSCC-RoBERTa", num_labels=19, args=deep_scc_model_args, use_cuda=False)
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pragformer = transformers.AutoModel.from_pretrained("Pragformer/PragFormer", trust_remote_code=True)
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pragformer_private = transformers.AutoModel.from_pretrained("Pragformer/PragFormer_private", trust_remote_code=True)
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pragformer_reduction = transformers.AutoModel.from_pretrained("Pragformer/PragFormer_reduction", trust_remote_code=True)
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#Event Listeners
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deep_scc_model_args = ClassificationArgs(num_train_epochs=10,max_seq_length=300,use_multiprocessing=False)
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deep_scc_model = ClassificationModel("roberta", "NTUYG/DeepSCC-RoBERTa", num_labels=19, args=deep_scc_model_args, use_cuda=False)
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pragformer = transformers.AutoModel.from_pretrained("Pragformer/PragFormer", revision="main", trust_remote_code=True)
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pragformer_private = transformers.AutoModel.from_pretrained("Pragformer/PragFormer_private", revision="main", trust_remote_code=True)
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pragformer_reduction = transformers.AutoModel.from_pretrained("Pragformer/PragFormer_reduction", revision="main", trust_remote_code=True)
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#Event Listeners
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