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yangheng

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Multilingual-Aspect-Based-Sentiment-Analysis

like 20

Build error

• "numpy.core.multiarray.scalar",
• "metric_visualizer.metric_visualizer.MetricVisualizer",
• "numpy.dtype",
• "pyabsa.core.tc.classic.__bert__.models.bert.BERT",
• "collections.OrderedDict",
• "pyabsa.functional.config.tc_config_manager.TCConfigManager",
• "torch.device",
• "pyabsa.core.tc.classic.__bert__.dataset_utils.data_utils_for_training.Tokenizer4Pretraining",
• "transformers.models.deberta_v2.tokenization_deberta_v2.SPMTokenizer",
• "transformers.models.deberta_v2.tokenization_deberta_v2.DebertaV2Tokenizer",
• "transformers.tokenization_utils.Trie"

How to fix it?

• "numpy.core.multiarray.scalar",
• "metric_visualizer.metric_visualizer.MetricVisualizer",
• "numpy.dtype",
• "pyabsa.core.tc.classic.__bert__.models.bert.BERT",
• "collections.OrderedDict",
• "pyabsa.functional.config.tc_config_manager.TCConfigManager",
• "torch.device",
• "pyabsa.core.tc.classic.__bert__.dataset_utils.data_utils_for_training.Tokenizer4Pretraining",
• "transformers.models.deberta_v2.tokenization_deberta_v2.SPMTokenizer",
• "transformers.models.deberta_v2.tokenization_deberta_v2.DebertaV2Tokenizer",
• "transformers.tokenization_utils.Trie"

How to fix it?

• "numpy.core.multiarray.scalar",
• "metric_visualizer.metric_visualizer.MetricVisualizer",
• "numpy.dtype",
• "pyabsa.core.tc.classic.__bert__.models.bert.BERT",
• "collections.OrderedDict",
• "pyabsa.functional.config.tc_config_manager.TCConfigManager",
• "torch.device",
• "pyabsa.core.tc.classic.__bert__.dataset_utils.data_utils_for_training.Tokenizer4Pretraining",
• "transformers.models.deberta_v2.tokenization_deberta_v2.SPMTokenizer",
• "transformers.models.deberta_v2.tokenization_deberta_v2.DebertaV2Tokenizer",
• "transformers.tokenization_utils.Trie"

How to fix it?