cv43

/

llmpot

like 0

• "torch.nn.modules.dropout.Dropout",
• "torch.float32",
• "torch.device",
• "transformers.models.t5.modeling_t5.T5Attention",
• "finetune.model.server_model.ServerModel",
• "torch.nn.modules.sparse.Embedding",
• "finetune.model.database_model.DatasetModel",
• "torch._utils._rebuild_parameter",
• "torch.FloatStorage",
• "transformers.tokenization_utils.Trie",
• "finetune.model.range_model.RangeModel",
• "transformers.models.t5.modeling_t5.T5Block",
• "transformers.models.t5.modeling_t5.T5Stack",
• "torch.nn.modules.linear.Linear",
• "transformers.models.t5.configuration_t5.T5Config",
• "transformers.models.t5.modeling_t5.T5LayerCrossAttention",
• "transformers.activations.NewGELUActivation",
• "transformers.models.byt5.tokenization_byt5.ByT5Tokenizer",
• "transformers.models.t5.modeling_t5.T5LayerSelfAttention",
• "torch._utils._rebuild_tensor_v2",
• "collections.OrderedDict",
• "finetune.custom_lightning.byt5_lightning_module.Byt5LightningModule",
• "__builtin__.set",
• "transformers.generation.configuration_utils.GenerationConfig",
• "finetune.model.finetuner_model.FinetunerModel",
• "tokenizers.AddedToken",
• "transformers.models.t5.modeling_t5.T5ForConditionalGeneration",
• "transformers.models.t5.modeling_t5.T5LayerNorm",
• "torch.nn.modules.container.ModuleList",
• "transformers.models.t5.modeling_t5.T5LayerFF",
• "transformers.models.t5.modeling_t5.T5DenseGatedActDense"

How to fix it?