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Multilingual-Aspect-Based-Sentiment-Analysis

like 20

Build error

• "numpy.core.multiarray.scalar",
• "numpy.dtype",
• "pyabsa.core.atepc.models.fast_lcf_atepc.FAST_LCF_ATEPC",
• "pyabsa.functional.config.atepc_config_manager.ATEPCConfigManager",
• "torch.device",
• "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",
• "collections.OrderedDict",
• "pyabsa.core.atepc.models.fast_lcf_atepc.FAST_LCF_ATEPC",
• "pyabsa.functional.config.atepc_config_manager.ATEPCConfigManager",
• "torch.device",
• "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",
• "collections.OrderedDict",
• "pyabsa.core.atepc.models.fast_lcf_atepc.FAST_LCF_ATEPC",
• "pyabsa.functional.config.atepc_config_manager.ATEPCConfigManager",
• "torch.device",
• "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",
• "collections.OrderedDict",
• "pyabsa.core.atepc.models.fast_lcf_atepc.FAST_LCF_ATEPC",
• "pyabsa.functional.config.atepc_config_manager.ATEPCConfigManager",
• "torch.device",
• "tokenizers.models.Model",
• "transformers.models.deberta_v2.tokenization_deberta_v2_fast.DebertaV2TokenizerFast",
• "tokenizers.Tokenizer"

How to fix it?