sanganaka

/

SaCTI-Models

like 0

Follow

Sanganaka, IIT Kharagpur 20

• "adapter_transformers.modeling_bert.BertSelfOutput",
• "adapter_transformers.tokenization_xlm_roberta.XLMRobertaTokenizer",
• "adapter_transformers.modeling_bert.BertLayer",
• "__builtin__.set",
• "adapter_transformers.adapter_modeling.Activation_Function_Class",
• "adapter_transformers.adapter_config.AdapterConfig",
• "adapter_transformers.modeling_bert.BertPooler",
• "torch.nn.functional.relu",
• "adapter_transformers.adapter_modeling.Adapter",
• "torch.nn.modules.container.Sequential",
• "adapter_transformers.modeling_xlm_roberta.XLMRobertaModel",
• "adapter_transformers.modeling_bert.BertEncoder",
• "torch.nn.modules.sparse.Embedding",
• "torch._utils._rebuild_tensor_v2",
• "adapter_transformers.modeling_bert.BertSelfAttention",
• "torch.nn.modules.container.ModuleList",
• "adapter_transformers.adapter_utils.AdapterType",
• "torch.nn.modules.linear.Linear",
• "collections.OrderedDict",
• "torch.device",
• "torch.nn.modules.activation.Tanh",
• "logging.getLogger",
• "torch.nn.modules.normalization.LayerNorm",
• "torch.nn.modules.dropout.Dropout",
• "adapter_transformers.configuration_xlm_roberta.XLMRobertaConfig",
• "adapter_transformers.modeling_bert.BertOutput",
• "torch._C._nn.gelu",
• "adapter_transformers.modeling_bert.BertIntermediate",
• "config.Config",
• "torch.FloatStorage",
• "adapter_transformers.modeling_bert.BertAttention",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.container.ModuleDict",
• "models.base_models.Multilingual_Embedding",
• "adapter_transformers.adapter_config.ModelAdaptersConfig",
• "adapter_transformers.modeling_roberta.RobertaEmbeddings"

How to fix it?